DISPLAY

DISPLAY DICTIONARY.
Variable Description Position
YEAR Label: GSS year for this respondent
Format: F4.0
Measure: Scale
Display Width: 8
1
ID Label: Respondent ID number
Format: F4.0
Measure: Scale
Display Width: 8
2
WRKSTAT Label: Labor force status
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 WORKING FULLTIME
2 WORKING PARTTIME
3 TEMP NOT WORKING
4 UNEMPL, LAID OFF
5 RETIRED
6 SCHOOL
7 KEEPING HOUSE
8 OTHER
9 NA
3
HRS1 Label: Number of hours worked last week
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
89 89+ hrs
98 DK
99 NA
4
HRS2 Label: Number of hours usually work a week
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
89 89+ hrs
98 DK
99 NA
5
EVWORK Label: Ever work as long as one year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
6
OCC Label: R's census occupation code (1970)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
7
PRESTIGE Label: R's occupational prestige score(1970)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
8
WRKSLF Label: R self-emp or works for somebody
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
9
WRKGOVT Label: Govt or private employee
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVERNMENT
2 PRIVATE
8 DK
9 NA
10
COMMUTE Label: Travel time to work
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97+ MINUTES
98 DK
99 NA
11
INDUSTRY Label: R's industry code (1970)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
12
OCC80 Label: R's census occupation code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
3 Legislators
4 Chief Executives and General Admin., Public Admin
5 Administrators and Officials, Public Administration
6 Administrators, Protective Service
7 Financial Managers
8 Personnel and Labor Relations Managers
9 Purchasing Managers
13 Managers, Marketing, Advertising, and Public Relations
14 Administrators, Education and Related Fields
15 Managers, Medicine and Health
16 Managers, Properties and Real Estate
17 Postmasters and Mail Superintendents
18 Funeral Directors
19 Managers and Administrators, n.e.c.
23 Accountants and Auditors
24 Underwriters
25 Other Financial Officers
26 Management Analysts
27 Personnel, Training, and Labor Relations Specialists
28 Purchasing Agents and Buyers, Farm Products
29 Buyers, Wholesale and Retail Trade Except Farm Products
33 Purchasing Agents and Buyers
34 Business and Promotion Agents
35 Construction Inspectors
36 Inspectors/Compliance Officers, Except Construction
37 Management Related Occupations, n.e.c.
43 Architects
44 Aerospace Engineers
45 Metallurgical and Materials Engineers
46 Mining Engineers
47 Petroleum Engineers
48 Chemical Engineers
49 Nuclear Engineers
53 Civil Engineers
54 Agricultural Engineers
55 Electrical and Electronic Engineers
56 Industrial Engineers
57 Mechanical Engineers
58 Marine and Naval Architects
59 Engineers, n.e.c.
63 Surveyors and Mapping Scientists
64 Computer Systems Analysts and Scientists
65 Operations and Systems Researchers and Analysts
66 Actuaries
67 Statisticians
68 Mathematical Scientists, n.e.c.
69 Physicists and Astronomers
73 Chemists, Except Biochemists
74 Atmospheric and Space Scientists
75 Geologists and Geodesists
76 Physical Scientists, n.e.c.
77 Agricultural and Food Scientists
78 Biological and Life Scientists
79 Forestry and Conservation Scientists
83 Medical Scientists
84 Physicians
85 Dentists
86 Veterinarians
87 Optometrists
88 Podiatrists
89 Health Diagnosing Practitioners, n.e.c.
95 Registered Nurses
96 Pharmacists
97 Dietitians
98 Inhalation Therapists
99 Occupational Therapists
103 Physical Therapists
104 Speech Therapists
105 Therapists, n.e.c.
106 Physicians' Assistants
113 Earth, Environmental, and Marine Science Teachers
114 Biological Science Teachers
115 Chemistry Teachers
116 Physics Teachers
117 Natural Science Teachers, n.e.c.
118 Psychology Teachers
119 Economics Teachers
123 History Teachers
124 Political Science Teachers
125 Sociology Teachers
126 Social Science Teachers, n.e.c.
127 Engineering Teachers
128 Mathematical Science Teachers
129 Computer Science Teachers
133 Medical Science Teachers
134 Health Specialties Teachers
135 Business, Commerce, and Marketing Teachers
136 Agriculture and Forestry Teachers
137 Art, Drama, and Music Teachers
138 Physical Education Teachers
139 Education Teachers
143 English Teachers
144 Foreign Language Teachers
145 Law Teachers
146 Social Work Teachers
147 Theology Teachers
148 Trade and Industrial Teachers
149 Home Economics Teachers
153 Teachers, Postsecondary, n.e.c.
154 Postsecondary Teachers, Subject Not Specified
155 Teachers, Prekindergarten and Kindergarten
156 Teachers, Elementary School
157 Teachers, Secondary School
158 Teachers, Special Education
159 Teachers, n.e.c.
163 Counselors, Educational and Vocational
164 Librarians
165 Archivists and Curators
166 Economists
167 Psychologists
168 Sociologists
169 Social Scientists, n.e.c.
173 Urban Planners
174 Social Workers
175 Recreation Workers
176 Clergy
177 Religious Workers, n.e.c.
178 Lawyers
179 Judges
183 Authors
184 Technical Writers
185 Designers
186 Musicians and Composers
187 Actors and Directors
188 Painters, Sculptors, Craft-Artists, and Printmakers
189 Photographers
193 Dancers
194 Artists, Performers, and Related Workers, n.e.c.
195 Editors and Reporters
197 Public Relations Specialists
198 Announcers
199 Athletes
203 Clinical Laboratory Technologists and Technicians
204 Dental Hygienists
205 Health Record Technologists and Technicians
206 Radiologic Technicians
207 Licensed Practical Nurses
208 Health Technologists and Technicians, n.e.c.
213 Electrical and Electronic Technicians
214 Industrial Engineering Technicians
215 Mechanical Engineering Technicians
216 Engineering Technicians, n.e.c.
217 Drafting Occupations
218 Surveying and Mapping Technicians
223 Biological Technicians
224 Chemical Technicians
225 Science Technicians, n.e.c.
226 Airplane Pilots and Navigators
227 Air Traffic Controllers
228 Broadcast Equipment Operators
229 Computer Programmers
233 Tool Programmers, Numerical Control
234 Legal Assistants
235 Technicians, n.e.c.
243 Supervisors and Proprietors, Sales Occupations
253 Insurance Sales Occupations
254 Real Estate Sales Occupations
255 Securities and Financial Services Sales Occupations
256 Advertising and Related Sales Occupations
257 Sales Occupations, Other Business Services
258 Sales Engineers
259 Sales Rep., Mining, Manufacturing, and Wholesale
263 Sales Workers, Motor Vehicles and Boats
264 Sales Workers, Apparel
265 Sales Workers, Shoes
266 Sales Workers, Furniture and Home Furnishings
267 Sales Workers, Radio, TV, Hi-Fi, and Appliances
268 Sales Workers, Hardware and Building Supplies
269 Sales Workers, Parts
274 Sales Workers, Other Commodities
275 Sales Counter Clerks
276 Cashiers
277 Street and Door-To-Door Sales Workers
278 News Vendors
283 Demonstrators, Promoters and Models, Sales
284 Auctioneers
285 Sales Support Occupations, n.e.c.
303 Supervisors, General Office
304 Supervisors, Computer Equipment Operators
305 Supervisors, Financial Records Processing
306 Chief Communications Operators
307 Supervisors, Distribution, Scheduling, and Adjusting Clerks
308 Computer Operators
309 Peripheral Equipment Operators
313 Secretaries
314 Stenographers
315 Typists
316 Interviewers
317 Hotel Clerks
318 Transportation Ticket and Reservation Agents
319 Receptionists
323 Information Clerks, n.e.c.
325 Classified-Ad Clerks
326 Correspondence Clerks
327 Order Clerks
328 Personnel Clerks, Except Payroll and Timekeeping
329 Library Clerks
335 File Clerks
336 Records Clerks
337 Bookkeepers, Accounting and Auditing Clerks
338 Payroll and Timekeeping Clerks
339 Billing Clerks
343 Cost and Rate Clerks
344 Billing, Posting, and Calculating Machine Operators
345 Duplicating Machine Operators
346 Mail Preparing and Paper Handling Machine Operators
347 Office Machine Operators, n.e.c.
348 Telephone Operators
349 Telegraphers
353 Communications Equipment Operators, n.e.c.
354 Postal Clerks, Excluding Mail Carriers
355 Mail Carriers, Postal Service
356 Mail Clerks, Excluding Postal Service
357 Messengers
359 Dispatchers
363 Production Coordinators
364 Traffic, Shipping and Receiving Clerks
365 Stock and Inventory Clerks
366 Meter Readers
368 Weighers, Measurers, and Checkers
369 Samplers
373 Expediters
374 Material Recording, Scheduling and Distributing Clerks, n.e.c.
375 Insurance Adjusters, Examiners, and Investigators
376 Investigators and Adjusters, Except Insurance
377 Eligibility Clerks, Social Welfare
378 Bill and Account Collectors
379 General Office Clerks
383 Bank Tellers
384 Proofreaders
385 Data-Entry Keyers
386 Statistical Clerks
387 Teachers' Aides
389 Administrative Support Occupations, n.e.c.
403 Launderers and Ironers
404 Cooks, Private Household
405 Housekeepers and Butlers
406 Child Care Workers, Private Household
407 Private Household Cleaners and Servants
413 Supervisors, Firefighting and Fire Prevention Occupations
414 Supervisors, Police and Detectives
415 Supervisors, Guards
416 Fire Inspection and Fire Prevention Occupations
417 Firefighting Occupations
418 Police and Detectives, Public Service
423 Sheriffs, Bailiffs, and Other Law Enforcement Officers
424 Correctional Institution Officers
425 Crossing Guards
426 Guards and Police, Excluding Public Service
427 Protective Service Occupations
430 Former Member of the Armed Forces
431 Current Member of the Armed Forces
433 Supervisors, Food Preparation and Service Occupations
434 Bartenders
435 Waiters and Waitresses
436 Cooks, Except Short Order
437 Short-Order Cooks
438 Food Counter, Fountain and Related Occupations
439 Kitchen Workers, Food Preparation
443 Waiters'/Waitresses' Assistants
444 Miscellaneous Food Preparation Occupations
445 Dental Assistants
446 Health Aids, Except Nursing
447 Nursing Aides, Orderlies and Attendants
448 Supervisors, Cleaning and Building Service Workers
449 Maids and Housemen
453 Janitors and Cleaners
454 Elevator Operators
455 Pest Control Occupations
456 Supervisors, Personal Service Occupations
457 Barbers
458 Hairdressers and Cosmetologists
459 Attendants, Amusement and Recreation Facilities
463 Guides
464 Ushers
465 Public Transportation Attendants
466 Baggage Porters and Bellhops
467 Welfare Service Aides
468 Child Care Workers, Except Private Household
469 Personal Service Occupations, n.e.c.
473 Farmers, Except Horticultural
474 Horticultural Specialty Farmers
475 Managers, Farms, Except Horticultural
476 Managers, Horticultural Specialty Farms
477 Supervisors, Farm Workers
479 Farm Workers
483 Marine Life Cultivation Workers
484 Nursery Workers
485 Supervisors, Related Agricultural Occupations
486 Groundskeepers and Gardeners, Except Farm
487 Animal Caretakers, Except Farm
488 Graders and Sorters, Agricultural Products
489 Inspectors, Agricultural Products
494 Supervisors, Forestry and Logging Workers
495 Forestry Workers, Except Logging
496 Timber Cutting and Logging Occupations
497 Captains and Other Officers, Fishing Vessels
498 Fishers
499 Hunters and Trappers
503 Supervisors, Mechanics and Repairers
505 Automobile Mechanics, Except Apprentices
506 Automobile Mechanic Apprentices
507 Bus, Truck, and Stationary Engine Mechanics
508 Aircraft Engine Mechanics
509 Small Engine Repairers
514 Automobile Body and Related Repairers
515 Aircraft Mechanics, Excluding Engine
516 Heavy Equipment Mechanics
517 Farm Equipment Mechanics
518 Industrial Machinery Repairers
519 Machinery Maintenance Occupations
523 Electronic Repairers, Communications and Industrial Equipment
525 Data Processing Equipment Repairers
526 Household Appliance and Power Tool Repairers
527 Telephone Line Installers and Repairers
529 Telephone Installers and Repairers
533 Misc. Electrical and Electronic Equipment Repairers
534 Heating, Air Conditioning, and Refrigeration Mechanics
535 Camera, Watch, and Musical Instrument Repairers
536 Locksmiths and Safe Repairers
538 Office Machine Repairers
539 Mechanical Controls and Valve Repairers
543 Elevator Installers and Repairers
544 Millwrights
547 Specified Mechanics and Repairers, n.e.c.
549 Not Specified Mechanics and Repairers
553 Supervisors, Brickmasons, Stonemasons, and Title Setters
554 Supervisors, Carpenters and Related Work
555 Supervisors, Electricians and Power Transmission Installers
556 Supervisors, Painters, Paperhangers, and Plasterers
557 Supervisors, Plumbers, Pipefitters, and Steamfitters
558 Supervisors, n.e.c.
563 Brickmasons and Stonemasons, Except Apprentices
564 Brickmasons and Stonemasons Apprentices
565 Tile Setters, Hard and Soft
566 Carpet Installers
567 Carpenters, Except Apprentices
569 Carpenter Apprentices
573 Drywall Installers
575 Electricians, Except Apprentices
576 Electrician Apprentices
577 Electrical Power Installers and Repairers
579 Painters, Construction and Maintenance
583 Paperhangers
584 Plasterers
585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices
587 Plumber, Pipefitter, and Steamfitter Apprentices
588 Concrete and Terrazzo Finishers
589 Glaziers
593 Insulation Workers
594 Paving, Surfacing, and Tamping Equipment Operators
595 Roofers
596 Sheetmetal Duct Installers
597 Structural Metal Workers
598 Drillers, Earth
599 Construction Trades, n.e.c.
613 Supervisors, Extractive Occupations
614 Drillers, Oil Well
615 Explosives Workers
616 Mining Machine Operators
617 Mining Occupations, n.e.c.
633 Supervisors, Production Occupations
634 Tool and Die Makers, Except Apprentices
635 Tool and Die Maker Apprentices
636 Precision Assemblers, Metal
637 Machinists, Except Apprentices
639 Machinist Apprentices
643 Boilermakers
644 Precision Grinders, Fitters, and Tool Sharpeners
645 Patternmakers and Model Makers, Metal
646 Lay-Out Workers
647 Precious Stones and Metals Workers
649 Engravers, Metal
653 Sheet Metal Workers, Except Apprentices
654 Sheet Metal Worker, Apprentices
655 Miscellaneous Precision Metal Workers
656 Patternmakers and Model Makers, Wood
657 Cabinet Makers and Bench Carpenters
658 Furniture and Wood Finishers
659 Miscellaneous Precision Woodworkers
666 Dressmakers
667 Tailors
668 Upholsterers
669 Shoe Repairers
673 Apparel and Fabric Patternmakers
674 Miscellaneous Precision Apparel and Fabric Workers
675 Hand Molders and Shapers, Except Jewelers
676 Patternmakers, Lay-Out Workers, and Cutters
677 Optical Goods Workers
678 Dental Laboratory and Medical Appliance Technicians
679 Bookbinders
683 Electrical and Electronic Equipment Assemblers
684 Miscellaneous Precision Workers, n.e.c.
686 Butchers and Meat Cutters
687 Bakers
688 Food Batchmakers
689 Inspectors, Testers, and Graders
693 Adjusters and Calibrators
694 Water and Sewage Treatment Plant Operators
695 Power Plant Operators
696 Stationary Engineers
699 Miscellaneous Plant and System Operators
703 Lathe and Turning Machine Set-Up Operators
704 Lathe and Turning Machine Operators
705 Milling and Planing Machine Operators
706 Punching and Stamping Press Machine Operators
707 Rolling Machine Operators
708 Drilling and Boring Machine Operators
709 Grinding, Abrading, Buffing, and Polishing Machine Operators
713 Forging Machine Operators
714 Numerical control machine operators
715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators
717 Fabricating Machine Operators, n.e.c.
719 Molding and Casting Machine Operators
723 Metal Plating Machine Operators
724 Heat Treating Equipment Operators
725 Miscellaneous Metal and Plastic Processing Machine Operators
726 Wood Lathe, Routing and Planing Machine Operators
727 Sawing Machine Operators
728 Shaping and Joining Machine Operators
729 Nailing and Tacking Machine Operators
733 Miscellaneous Woodworking Machine Operators
734 Printing Machine Operators
735 Photoengravers and Lithographers
736 Typesetters and Compositors
737 Miscellaneous Printing Machine Operators
738 Winding and Twisting Machine Operators
739 Knitting, Looping, Taping, and Weaving Machine Operators
743 Textile Cutting Machine Operators
744 Textile Sewing Machine Operators
745 Shoe Machine Operators
747 Pressing Machine Operators
748 Laundering and Dry Cleaning Machine Operators
749 Miscellaneous Textile Machine Operators
753 Cementing and Gluing Machine Operators
754 Packaging and Filling Machine Operators
755 Extruding and Forming Machine Operators
756 Mixing and Blending Machine Operators
757 Separating, Filtering, and Clarifying Machine Operators
758 Compressing and Compacting Machine Operators
759 Painting and Paint Spraying Machine Operators
763 Roasting and Baking Machine Operators, Food
764 Washing, Cleaning, and Pickling Machine Operators
765 Folding Machine Operators
766 Furnace, Kiln, and Oven Operators, Except Food
768 Crushing and Grinding Machine Operators
769 Slicing and Cutting Machine Operators
773 Motion Picture Projectionists
774 Photographic Process Machine Operators
777 Miscellaneous and Not Specified Machine Operators, n.e.c.
779 Machine Operators, Not Specified
783 Welders and Cutters
784 Solderers and Blazers
785 Assemblers
786 Hand Cutting and Trimming Occupations
787 Hand Molding, Casting, and Forming Occupations
789 Hand Painting,Coating, and Decorating Occupations
793 Hand Engraving and Printing Occupations
794 Hand Grinding and Polishing Occupations
795 Miscellaneous Hand Working Occupations
796 Production Inspectors, Checkers, and Examiners
797 Production Testers
798 Production Samplers and Weighers
799 Graders and Sorters, Except Agricultural
803 Supervisors, Motor Vehicle Operators
804 Truck Drivers, Heavy
805 Truck Drivers, Light
806 Driver-Sales Workers
808 Bus Drivers
809 Taxicab Drivers and Chauffeurs
813 Parking Lot Attendants
814 Motor Transportation Occupations, n.e.c.
823 Railroad Conductors and Yardmasters
824 Locomotive Operating Occupations
825 Railroad Brake, Signal, and Switch Operators
826 Rail Vehicle Operators, n.e.c.
828 Ship Captains and Mates, Except Fishing Boats
829 Sailors and Deckhands
833 Marine Engineers
834 Bridge, Lock and Lighthouse Tenders
843 Supervisors, Material Moving Equipment Operators
844 Operating Engineers
845 Longshore Equipment Operators
848 Hoist and Winch Operators
849 Crane and Tower Operators
853 Excavating and Loading Machine Operators
855 Grader, Dozer, and Scraper Operators
856 Industrial Truck and Tractor Equipment Operators
859 Miscellaneous Material Moving Equipment Operators
863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c.
864 Helpers, Mechanics and Repairers
865 Helpers, Construction Trades
866 Helpers, Surveyor
867 Helpers, Extractive Occupations
869 Construction Laborers
873 Production Helpers
875 Garbage Collectors
876 Stevedores
877 Stock Handlers and Baggers
878 Machine Feeders and Offbearers
883 Freight, Stock, and Material Handlers, n.e.c.
885 Garage and Service Station Related Occupations
887 Vehicle Washers and Equipment Cleaners
888 Hand Packers and Packagers
889 Laborers, Except Construction
998 DK
999 NA
13
PRESTG80 Label: R's occupational prestige score(1980)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
14
INDUS80 Label: R's industry code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
10 Agricultural production, crops
11 Agricultural production, livestock
20 Agricultural services, except horticultural
21 Horticultural services
30 Forestry
31 Fishing, hunting, and trapping, etc.
40 Metal mining
41 Coal mining
42 Crude petroleum and natural gas extraction
50 Nonmetallic mining and quarrying, except fuel
60 CONSTRUCTION
100 Meat products
101 Dairy products
102 Canned and preserved fruits and vegetables
110 Grain mill products
111 Bakery products
112 Sugar and confectionery products
120 Beverage industries
121 Miscellaneous food preparations and kindred products
122 Not specified food industries
130 Tobacco manufactures
132 Knitting mills
140 Dyeing and finishing textiles, except wool and knit goods
141 Floor coverings, except hard surface
142 Yarn, thread, and fabric mills
150 Miscellaneous textile mill products
151 Apparel and accessories, except knit
152 Miscellaneous fabricated textile products
160 Pulp, paper, and paperboard mills
161 Miscellaneous paper and pulp products
162 Paperboard containers and boxes
171 Newspaper publishing and printing
172 Printing, publishing, and allied industries, except newspapers
180 Plastics, synthetics, and resins
181 Drugs
182 Soaps and cosmetics
185 Paints, varnishes, and related products
190 Agricultural chemicals
191 Industrial and miscellaneous chemicals
192 Petroleum and coal products
200 Petroleum refining
201 Miscellaneous petroleum and coal products
210 Tires and inner tubes
211 Other rubber products, and plastics footwear and belting
212 Miscellaneous plastics products
220 Leather tanning and finishing
221 Footwear, except rubber and plastic
222 Leather products, except footwear
230 Logging
231 Sawmills, planning mills, and millwork
232 Wood buildings and mobile homes
241 Miscellaneous wood products
242 Furniture and fixtures
250 Glass and glass products
251 Cement, concrete, gypsum, and plaster products
252 Structural clay products
261 Pottery and related products
262 Miscellaneous nonmetallic mineral and stone products
270 Blast furnaces, steelworks, rolling and finishing mills
271 Iron and steel foundries
272 Primary aluminum industries
280 Other primary metal industries
281 Cutlery, hand tools, and other hardware
282 Fabricated structural metal products
290 Screw machine products
291 Metal forgings and stampings
292 Ordnance
300 Miscellaneous fabricated metal products
301 Not specified metal industries
310 Engines and turbines
311 Farm machinery and equipment
312 Construction and material handling machines
320 Metalworking machinery
321 Office and accounting machines
322 Electronic computing equipment
331 Machinery, except electrical, n.e.c.
332 Not specified machinery
340 Household appliances
341 Radio, TV, and communication equipment
342 Electrical machinery, equipment, and supplies, n.e.c.
350 Not specified electrical machinery, equipment, and supplies
351 Motor vehicles and motor vehicle equipment
352 Aircraft and parts
360 Ship and boat building and repairing
361 Railroad locomotives and equipment
362 Guided missiles, space vehicles, and parts
370 Cycles and miscellaneous transportation equipment
371 Scientific and controlling instruments
372 Optical and health services supplies
380 Photographic equipment and supplies
381 Watches, clocks, and clockwork operated devices
382 Not specified professional equipment
390 Toys, amusement, and sporting goods
391 Miscellaneous manufacturing industries
392 Not specified manufacturing industries
400 Railroads
401 Bus service and urban transit
402 Taxicab service
410 Trucking service
411 Warehousing and storage
412 U.S. Postal Service
420 Water transportation
421 Air transportation
422 Pipe lines, except natural gas
432 Services incidental to transportation
440 Radio and television broadcasting
441 Telephone (wire and radio)
442 Telegraph and miscellaneous communication service
460 Electric light and power
461 Gas and steam supply systems
462 Electric and gas, and other combinations
470 Water supply and irrigation
471 Sanitary services
472 Not specified utilities
500 Motor vehicles and equipment
501 Furniture and home furnishings
502 Lumber and construction materials
510 Sporting goods, toys, and hobby goods
511 Metals and minerals, except petroleum
512 Electrical goods
521 Hardware, plumbing and heating supplies
522 Not specified electrical and hardware products
530 Machinery, equipment, and supplies
531 Scrap and waste materials
532 Miscellaneous wholesale, durable goods
540 Paper and paper products
541 Drugs, chemicals, and allied products
542 Apparel, fabrics, and notions
550 Groceries and related products
551 Farm products-raw materials
552 Petroleum products
560 Alcoholic beverages
561 Farm supplies
562 Miscellaneous wholesale, nondurable goods
571 Not specified wholesale trade
580 Lumber and building material retailing
581 Hardware stores
582 Retail nurseries and garden stores
590 Mobile home dealers
591 Department stores
592 Variety stores
600 Miscellaneous general merchandise stores
601 Grocery stores
602 Dairy products stores
610 Retail bakeries
611 Food stores, n.e.c.
612 Motor vehicle dealers
620 Auto and home supply stores
621 Gasoline service stations
622 Miscellaneous vehicle dealers
630 Apparel and accessory stores, except shoe
631 Shoe stores
632 Furniture and home furnishings stores
640 Household appliances, TV, and radio stores
641 Eating and drinking places
642 Drug stores
650 Liquor stores
651 Sporting goods, bicycles, and hobby stores
652 Book and stationery stores
660 Jewelry stores
661 Sewing, needlework, and piece goods stores
662 Mail order houses
670 Vending machine operators
671 Direct selling establishments
672 Fuel and ice dealers
681 Retail florists
682 Miscellaneous retail stores
691 Not specified retail trade
700 Banking
701 Savings and loan associations
702 Credit agencies, n.e.c.
710 Security, commodity brokerage, and investment companies
711 Insurance
712 Real estate, including real estate-insurance-law offices
721 Advertising
722 Services to dwellings and other buildings
730 Commercial research, development, and testing labs
731 Personnel supply services
732 Business management and consulting services
740 Computer and data processing services
741 Detective and protective services
742 Business services, n.e.c.
750 Automotive services, except repair
751 Automotive repair shops
752 Electrical repair shops
760 Miscellaneous repair services
761 Private households
762 Hotels and motels
770 Lodging places, except hotels and motels
771 Laundry, cleaning, and garment services
772 Beauty shops
780 Barber shops
781 Funeral service and crematories
782 Shoe repair shops
790 Dressmaking shops
791 Miscellaneous personal services
800 Theaters and motion pictures
801 Bowling alleys, billiard and pool parlors
802 Miscellaneous entertainment and recreation services
812 Offices of physicians
820 Offices of dentists
821 Offices of chiropractors
822 Offices of optometrists
830 Offices of health practitioners, n.e.c.
831 Hospitals
832 Nursing and personal care facilities
840 Health services, n.e.c.
841 Legal services
842 Elementary and secondary schools
850 Colleges and universities
851 Business, trade, and vocational schools
852 Libraries
860 Educational services, n.e.c.
861 Job training and vocational rehabilitation services
862 Child day care services
870 Residential care facilities, without nursing
871 Social services, n.e.c.
872 Museums, art galleries and zoos
880 Religious organizations
881 Membership organizations
882 Engineering, architectural, and surveying services
890 Accounting, auditing, and bookkeeping services
891 Noncommercial educational and scientific research
892 Miscellaneous professional and related services
900 Executive and legislative offices
901 General government, n.e.c.
910 Justice, public order, and safety
921 Public finance, taxation, and monetary policy
922 Administration of human resources programs
930 Administration of environmental quality and household programs
931 Administration of economic programs
932 National security and international affairs
998 DK
999 NA
15
INDUS07 Label: Industry code based on NAICS 2007
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 999999
Value Label
0 IAP
999999 No answer
16
OCCONET Label: Occupation code based on O*Net
Format: F8.2
Measure: Scale
Display Width: 10
Missing Values: 0; 999999.99
Value Label
.00 IAP
999999.99 No answer
17
FOUND Label: Case was retrievable in 2012
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
0 Not found
1 Found
18
OCC10 Label: R's census occupation code (2010)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers—extraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers—installation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers—production workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
19
OCCINDV Label: R's occ/ind verbatim retrieved
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
0 No verbatims for R
1 Verbatims for R
20
OCCSTATUS Label: OCC10 coding status
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
21
OCCTAG Label: OCC10 coding tag
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
22
PRESTG10 Label: R's occupational prestige score (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
23
PRESTG105PLUS Label: R's occupational prestige score using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 15
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
24
INDUS10 Label: R's industry code (NAICS 2007)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9999 No answer
25
INDSTATUS Label: INDUS10 coding status
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
26
INDTAG Label: INDUS10 coding tag
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
27
MARITAL Label: Marital status
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
9 NA
28
MARTYPE Label: Marital type
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 Marriage between a man and a woman
2 Marriage between people of the same gender
29
AGEWED Label: Age when first married
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
30
DIVORCE Label: Ever been divorced or separated
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
31
WIDOWED Label: Ever been widowed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
32
SPWRKSTA Label: Spouse labor force status
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 WORKING FULLTIME
2 WORKING PARTTIME
3 TEMP NOT WORKING
4 UNEMPL, LAID OFF
5 RETIRED
6 SCHOOL
7 KEEPING HOUSE
8 OTHER
9 NA
33
SPHRS1 Label: Number of hrs spouse worked last week
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
89 89+ hrs
98 DK
99 NA
34
SPHRS2 Label: No. of hrs spouse usually works a week
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
89 89+ hrs
98 DK
99 NA
35
SPEVWORK Label: Spouse ever work as long as a year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
36
COWRKSTA Label: Partner's labor force status
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 WORKING FULLTIME
2 WORKING PARTTIME
3 TEMP NOT WORKING
4 UNEMPL, LAID OFF
5 RETIRED
6 SCHOOL
7 KEEPING HOUSE
8 OTHER
9 NA
37
COWRKSLF Label: Partner self-emp. or works for somebody else
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
38
COEVWORK Label: Partner ever work as long as a year
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
39
COHRS1 Label: Number of hours partner worked last week
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
89 89+ hrs
98 DK
99 NA
40
COHRS2 Label: No. of hours partner usually works a week
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
89 89+ hrs
98 DK
99 NA
41
SPOCC Label: Spouse census occupation code (1970)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
42
SPPRES Label: Spouse's occupational prestige score (1970)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
43
SPWRKSLF Label: Spouse self-emp. or works for somebody
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
44
SPIND Label: Spouse's industry code (1970)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
45
SPOCC80 Label: Spouse census occupation code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
3 Legislators
4 Chief Executives and General Admin., Public Admin
5 Administrators and Officials, Public Administration
6 Administrators, Protective Service
7 Financial Managers
8 Personnel and Labor Relations Managers
9 Purchasing Managers
13 Managers, Marketing, Advertising, and Public Relations
14 Administrators, Education and Related Fields
15 Managers, Medicine and Health
16 Managers, Properties and Real Estate
17 Postmasters and Mail Superintendents
18 Funeral Directors
19 Managers and Administrators, n.e.c.
23 Accountants and Auditors
24 Underwriters
25 Other Financial Officers
26 Management Analysts
27 Personnel, Training, and Labor Relations Specialists
28 Purchasing Agents and Buyers, Farm Products
29 Buyers, Wholesale and Retail Trade Except Farm Products
33 Purchasing Agents and Buyers
34 Business and Promotion Agents
35 Construction Inspectors
36 Inspectors/Compliance Officers, Except Construction
37 Management Related Occupations, n.e.c.
43 Architects
44 Aerospace Engineers
45 Metallurgical and Materials Engineers
46 Mining Engineers
47 Petroleum Engineers
48 Chemical Engineers
49 Nuclear Engineers
53 Civil Engineers
54 Agricultural Engineers
55 Electrical and Electronic Engineers
56 Industrial Engineers
57 Mechanical Engineers
58 Marine and Naval Architects
59 Engineers, n.e.c.
63 Surveyors and Mapping Scientists
64 Computer Systems Analysts and Scientists
65 Operations and Systems Researchers and Analysts
66 Actuaries
67 Statisticians
68 Mathematical Scientists, n.e.c.
69 Physicists and Astronomers
73 Chemists, Except Biochemists
74 Atmospheric and Space Scientists
75 Geologists and Geodesists
76 Physical Scientists, n.e.c.
77 Agricultural and Food Scientists
78 Biological and Life Scientists
79 Forestry and Conservation Scientists
83 Medical Scientists
84 Physicians
85 Dentists
86 Veterinarians
87 Optometrists
88 Podiatrists
89 Health Diagnosing Practitioners, n.e.c.
95 Registered Nurses
96 Pharmacists
97 Dietitians
98 Inhalation Therapists
99 Occupational Therapists
103 Physical Therapists
104 Speech Therapists
105 Therapists, n.e.c.
106 Physicians' Assistants
113 Earth, Environmental, and Marine Science Teachers
114 Biological Science Teachers
115 Chemistry Teachers
116 Physics Teachers
117 Natural Science Teachers, n.e.c.
118 Psychology Teachers
119 Economics Teachers
123 History Teachers
124 Political Science Teachers
125 Sociology Teachers
126 Social Science Teachers, n.e.c.
127 Engineering Teachers
128 Mathematical Science Teachers
129 Computer Science Teachers
133 Medical Science Teachers
134 Health Specialties Teachers
135 Business, Commerce, and Marketing Teachers
136 Agriculture and Forestry Teachers
137 Art, Drama, and Music Teachers
138 Physical Education Teachers
139 Education Teachers
143 English Teachers
144 Foreign Language Teachers
145 Law Teachers
146 Social Work Teachers
147 Theology Teachers
148 Trade and Industrial Teachers
149 Home Economics Teachers
153 Teachers, Postsecondary, n.e.c.
154 Postsecondary Teachers, Subject Not Specified
155 Teachers, Prekindergarten and Kindergarten
156 Teachers, Elementary School
157 Teachers, Secondary School
158 Teachers, Special Education
159 Teachers, n.e.c.
163 Counselors, Educational and Vocational
164 Librarians
165 Archivists and Curators
166 Economists
167 Psychologists
168 Sociologists
169 Social Scientists, n.e.c.
173 Urban Planners
174 Social Workers
175 Recreation Workers
176 Clergy
177 Religious Workers, n.e.c.
178 Lawyers
179 Judges
183 Authors
184 Technical Writers
185 Designers
186 Musicians and Composers
187 Actors and Directors
188 Painters, Sculptors, Craft-Artists, and Printmakers
189 Photographers
193 Dancers
194 Artists, Performers, and Related Workers, n.e.c.
195 Editors and Reporters
197 Public Relations Specialists
198 Announcers
199 Athletes
203 Clinical Laboratory Technologists and Technicians
204 Dental Hygienists
205 Health Record Technologists and Technicians
206 Radiologic Technicians
207 Licensed Practical Nurses
208 Health Technologists and Technicians, n.e.c.
213 Electrical and Electronic Technicians
214 Industrial Engineering Technicians
215 Mechanical Engineering Technicians
216 Engineering Technicians, n.e.c.
217 Drafting Occupations
218 Surveying and Mapping Technicians
223 Biological Technicians
224 Chemical Technicians
225 Science Technicians, n.e.c.
226 Airplane Pilots and Navigators
227 Air Traffic Controllers
228 Broadcast Equipment Operators
229 Computer Programmers
233 Tool Programmers, Numerical Control
234 Legal Assistants
235 Technicians, n.e.c.
243 Supervisors and Proprietors, Sales Occupations
253 Insurance Sales Occupations
254 Real Estate Sales Occupations
255 Securities and Financial Services Sales Occupations
256 Advertising and Related Sales Occupations
257 Sales Occupations, Other Business Services
258 Sales Engineers
259 Sales Rep., Mining, Manufacturing, and Wholesale
263 Sales Workers, Motor Vehicles and Boats
264 Sales Workers, Apparel
265 Sales Workers, Shoes
266 Sales Workers, Furniture and Home Furnishings
267 Sales Workers, Radio, TV, Hi-Fi, and Appliances
268 Sales Workers, Hardware and Building Supplies
269 Sales Workers, Parts
274 Sales Workers, Other Commodities
275 Sales Counter Clerks
276 Cashiers
277 Street and Door-To-Door Sales Workers
278 News Vendors
283 Demonstrators, Promoters and Models, Sales
284 Auctioneers
285 Sales Support Occupations, n.e.c.
303 Supervisors, General Office
304 Supervisors, Computer Equipment Operators
305 Supervisors, Financial Records Processing
306 Chief Communications Operators
307 Supervisors, Distribution, Scheduling, and Adjusting Clerks
308 Computer Operators
309 Peripheral Equipment Operators
313 Secretaries
314 Stenographers
315 Typists
316 Interviewers
317 Hotel Clerks
318 Transportation Ticket and Reservation Agents
319 Receptionists
323 Information Clerks, n.e.c.
325 Classified-Ad Clerks
326 Correspondence Clerks
327 Order Clerks
328 Personnel Clerks, Except Payroll and Timekeeping
329 Library Clerks
335 File Clerks
336 Records Clerks
337 Bookkeepers, Accounting and Auditing Clerks
338 Payroll and Timekeeping Clerks
339 Billing Clerks
343 Cost and Rate Clerks
344 Billing, Posting, and Calculating Machine Operators
345 Duplicating Machine Operators
346 Mail Preparing and Paper Handling Machine Operators
347 Office Machine Operators, n.e.c.
348 Telephone Operators
349 Telegraphers
353 Communications Equipment Operators, n.e.c.
354 Postal Clerks, Excluding Mail Carriers
355 Mail Carriers, Postal Service
356 Mail Clerks, Excluding Postal Service
357 Messengers
359 Dispatchers
363 Production Coordinators
364 Traffic, Shipping and Receiving Clerks
365 Stock and Inventory Clerks
366 Meter Readers
368 Weighers, Measurers, and Checkers
369 Samplers
373 Expediters
374 Material Recording, Scheduling and Distributing Clerks, n.e.c.
375 Insurance Adjusters, Examiners, and Investigators
376 Investigators and Adjusters, Except Insurance
377 Eligibility Clerks, Social Welfare
378 Bill and Account Collectors
379 General Office Clerks
383 Bank Tellers
384 Proofreaders
385 Data-Entry Keyers
386 Statistical Clerks
387 Teachers' Aides
389 Administrative Support Occupations, n.e.c.
403 Launderers and Ironers
404 Cooks, Private Household
405 Housekeepers and Butlers
406 Child Care Workers, Private Household
407 Private Household Cleaners and Servants
413 Supervisors, Firefighting and Fire Prevention Occupations
414 Supervisors, Police and Detectives
415 Supervisors, Guards
416 Fire Inspection and Fire Prevention Occupations
417 Firefighting Occupations
418 Police and Detectives, Public Service
423 Sheriffs, Bailiffs, and Other Law Enforcement Officers
424 Correctional Institution Officers
425 Crossing Guards
426 Guards and Police, Excluding Public Service
427 Protective Service Occupations
430 Former Member of the Armed Forces
431 Current Member of the Armed Forces
433 Supervisors, Food Preparation and Service Occupations
434 Bartenders
435 Waiters and Waitresses
436 Cooks, Except Short Order
437 Short-Order Cooks
438 Food Counter, Fountain and Related Occupations
439 Kitchen Workers, Food Preparation
443 Waiters'/Waitresses' Assistants
444 Miscellaneous Food Preparation Occupations
445 Dental Assistants
446 Health Aids, Except Nursing
447 Nursing Aides, Orderlies and Attendants
448 Supervisors, Cleaning and Building Service Workers
449 Maids and Housemen
453 Janitors and Cleaners
454 Elevator Operators
455 Pest Control Occupations
456 Supervisors, Personal Service Occupations
457 Barbers
458 Hairdressers and Cosmetologists
459 Attendants, Amusement and Recreation Facilities
463 Guides
464 Ushers
465 Public Transportation Attendants
466 Baggage Porters and Bellhops
467 Welfare Service Aides
468 Child Care Workers, Except Private Household
469 Personal Service Occupations, n.e.c.
473 Farmers, Except Horticultural
474 Horticultural Specialty Farmers
475 Managers, Farms, Except Horticultural
476 Managers, Horticultural Specialty Farms
477 Supervisors, Farm Workers
479 Farm Workers
483 Marine Life Cultivation Workers
484 Nursery Workers
485 Supervisors, Related Agricultural Occupations
486 Groundskeepers and Gardeners, Except Farm
487 Animal Caretakers, Except Farm
488 Graders and Sorters, Agricultural Products
489 Inspectors, Agricultural Products
494 Supervisors, Forestry and Logging Workers
495 Forestry Workers, Except Logging
496 Timber Cutting and Logging Occupations
497 Captains and Other Officers, Fishing Vessels
498 Fishers
499 Hunters and Trappers
503 Supervisors, Mechanics and Repairers
505 Automobile Mechanics, Except Apprentices
506 Automobile Mechanic Apprentices
507 Bus, Truck, and Stationary Engine Mechanics
508 Aircraft Engine Mechanics
509 Small Engine Repairers
514 Automobile Body and Related Repairers
515 Aircraft Mechanics, Excluding Engine
516 Heavy Equipment Mechanics
517 Farm Equipment Mechanics
518 Industrial Machinery Repairers
519 Machinery Maintenance Occupations
523 Electronic Repairers, Communications and Industrial Equipment
525 Data Processing Equipment Repairers
526 Household Appliance and Power Tool Repairers
527 Telephone Line Installers and Repairers
529 Telephone Installers and Repairers
533 Misc. Electrical and Electronic Equipment Repairers
534 Heating, Air Conditioning, and Refrigeration Mechanics
535 Camera, Watch, and Musical Instrument Repairers
536 Locksmiths and Safe Repairers
538 Office Machine Repairers
539 Mechanical Controls and Valve Repairers
543 Elevator Installers and Repairers
544 Millwrights
547 Specified Mechanics and Repairers, n.e.c.
549 Not Specified Mechanics and Repairers
553 Supervisors, Brickmasons, Stonemasons, and Title Setters
554 Supervisors, Carpenters and Related Work
555 Supervisors, Electricians and Power Transmission Installers
556 Supervisors, Painters, Paperhangers, and Plasterers
557 Supervisors, Plumbers, Pipefitters, and Steamfitters
558 Supervisors, n.e.c.
563 Brickmasons and Stonemasons, Except Apprentices
564 Brickmasons and Stonemasons Apprentices
565 Tile Setters, Hard and Soft
566 Carpet Installers
567 Carpenters, Except Apprentices
569 Carpenter Apprentices
573 Drywall Installers
575 Electricians, Except Apprentices
576 Electrician Apprentices
577 Electrical Power Installers and Repairers
579 Painters, Construction and Maintenance
583 Paperhangers
584 Plasterers
585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices
587 Plumber, Pipefitter, and Steamfitter Apprentices
588 Concrete and Terrazzo Finishers
589 Glaziers
593 Insulation Workers
594 Paving, Surfacing, and Tamping Equipment Operators
595 Roofers
596 Sheetmetal Duct Installers
597 Structural Metal Workers
598 Drillers, Earth
599 Construction Trades, n.e.c.
613 Supervisors, Extractive Occupations
614 Drillers, Oil Well
615 Explosives Workers
616 Mining Machine Operators
617 Mining Occupations, n.e.c.
633 Supervisors, Production Occupations
634 Tool and Die Makers, Except Apprentices
635 Tool and Die Maker Apprentices
636 Precision Assemblers, Metal
637 Machinists, Except Apprentices
639 Machinist Apprentices
643 Boilermakers
644 Precision Grinders, Fitters, and Tool Sharpeners
645 Patternmakers and Model Makers, Metal
646 Lay-Out Workers
647 Precious Stones and Metals Workers
649 Engravers, Metal
653 Sheet Metal Workers, Except Apprentices
654 Sheet Metal Worker, Apprentices
655 Miscellaneous Precision Metal Workers
656 Patternmakers and Model Makers, Wood
657 Cabinet Makers and Bench Carpenters
658 Furniture and Wood Finishers
659 Miscellaneous Precision Woodworkers
666 Dressmakers
667 Tailors
668 Upholsterers
669 Shoe Repairers
673 Apparel and Fabric Patternmakers
674 Miscellaneous Precision Apparel and Fabric Workers
675 Hand Molders and Shapers, Except Jewelers
676 Patternmakers, Lay-Out Workers, and Cutters
677 Optical Goods Workers
678 Dental Laboratory and Medical Appliance Technicians
679 Bookbinders
683 Electrical and Electronic Equipment Assemblers
684 Miscellaneous Precision Workers, n.e.c.
686 Butchers and Meat Cutters
687 Bakers
688 Food Batchmakers
689 Inspectors, Testers, and Graders
693 Adjusters and Calibrators
694 Water and Sewage Treatment Plant Operators
695 Power Plant Operators
696 Stationary Engineers
699 Miscellaneous Plant and System Operators
703 Lathe and Turning Machine Set-Up Operators
704 Lathe and Turning Machine Operators
705 Milling and Planing Machine Operators
706 Punching and Stamping Press Machine Operators
707 Rolling Machine Operators
708 Drilling and Boring Machine Operators
709 Grinding, Abrading, Buffing, and Polishing Machine Operators
713 Forging Machine Operators
714 Numerical control machine operators
715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators
717 Fabricating Machine Operators, n.e.c.
719 Molding and Casting Machine Operators
723 Metal Plating Machine Operators
724 Heat Treating Equipment Operators
725 Miscellaneous Metal and Plastic Processing Machine Operators
726 Wood Lathe, Routing and Planing Machine Operators
727 Sawing Machine Operators
728 Shaping and Joining Machine Operators
729 Nailing and Tacking Machine Operators
733 Miscellaneous Woodworking Machine Operators
734 Printing Machine Operators
735 Photoengravers and Lithographers
736 Typesetters and Compositors
737 Miscellaneous Printing Machine Operators
738 Winding and Twisting Machine Operators
739 Knitting, Looping, Taping, and Weaving Machine Operators
743 Textile Cutting Machine Operators
744 Textile Sewing Machine Operators
745 Shoe Machine Operators
747 Pressing Machine Operators
748 Laundering and Dry Cleaning Machine Operators
749 Miscellaneous Textile Machine Operators
753 Cementing and Gluing Machine Operators
754 Packaging and Filling Machine Operators
755 Extruding and Forming Machine Operators
756 Mixing and Blending Machine Operators
757 Separating, Filtering, and Clarifying Machine Operators
758 Compressing and Compacting Machine Operators
759 Painting and Paint Spraying Machine Operators
763 Roasting and Baking Machine Operators, Food
764 Washing, Cleaning, and Pickling Machine Operators
765 Folding Machine Operators
766 Furnace, Kiln, and Oven Operators, Except Food
768 Crushing and Grinding Machine Operators
769 Slicing and Cutting Machine Operators
773 Motion Picture Projectionists
774 Photographic Process Machine Operators
777 Miscellaneous and Not Specified Machine Operators, n.e.c.
779 Machine Operators, Not Specified
783 Welders and Cutters
784 Solderers and Blazers
785 Assemblers
786 Hand Cutting and Trimming Occupations
787 Hand Molding, Casting, and Forming Occupations
789 Hand Painting,Coating, and Decorating Occupations
793 Hand Engraving and Printing Occupations
794 Hand Grinding and Polishing Occupations
795 Miscellaneous Hand Working Occupations
796 Production Inspectors, Checkers, and Examiners
797 Production Testers
798 Production Samplers and Weighers
799 Graders and Sorters, Except Agricultural
803 Supervisors, Motor Vehicle Operators
804 Truck Drivers, Heavy
805 Truck Drivers, Light
806 Driver-Sales Workers
808 Bus Drivers
809 Taxicab Drivers and Chauffeurs
813 Parking Lot Attendants
814 Motor Transportation Occupations, n.e.c.
823 Railroad Conductors and Yardmasters
824 Locomotive Operating Occupations
825 Railroad Brake, Signal, and Switch Operators
826 Rail Vehicle Operators, n.e.c.
828 Ship Captains and Mates, Except Fishing Boats
829 Sailors and Deckhands
833 Marine Engineers
834 Bridge, Lock and Lighthouse Tenders
843 Supervisors, Material Moving Equipment Operators
844 Operating Engineers
845 Longshore Equipment Operators
848 Hoist and Winch Operators
849 Crane and Tower Operators
853 Excavating and Loading Machine Operators
855 Grader, Dozer, and Scraper Operators
856 Industrial Truck and Tractor Equipment Operators
859 Miscellaneous Material Moving Equipment Operators
863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c.
864 Helpers, Mechanics and Repairers
865 Helpers, Construction Trades
866 Helpers, Surveyor
867 Helpers, Extractive Occupations
869 Construction Laborers
873 Production Helpers
875 Garbage Collectors
876 Stevedores
877 Stock Handlers and Baggers
878 Machine Feeders and Offbearers
883 Freight, Stock, and Material Handlers, n.e.c.
885 Garage and Service Station Related Occupations
887 Vehicle Washers and Equipment Cleaners
888 Hand Packers and Packagers
889 Laborers, Except Construction
998 DK
999 NA
46
SPPRES80 Label: Spouse's occupational prestige score (1980)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
47
SPIND80 Label: Spouse's industry code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
10 Agricultural production, crops
11 Agricultural production, livestock
20 Agricultural services, except horticultural
21 Horticultural services
30 Forestry
31 Fishing, hunting, and trapping, etc.
40 Metal mining
41 Coal mining
42 Crude petroleum and natural gas extraction
50 Nonmetallic mining and quarrying, except fuel
60 CONSTRUCTION
100 Meat products
101 Dairy products
102 Canned and preserved fruits and vegetables
110 Grain mill products
111 Bakery products
112 Sugar and confectionery products
120 Beverage industries
121 Miscellaneous food preparations and kindred products
122 Not specified food industries
130 Tobacco manufactures
132 Knitting mills
140 Dyeing and finishing textiles, except wool and knit goods
141 Floor coverings, except hard surface
142 Yarn, thread, and fabric mills
150 Miscellaneous textile mill products
151 Apparel and accessories, except knit
152 Miscellaneous fabricated textile products
160 Pulp, paper, and paperboard mills
161 Miscellaneous paper and pulp products
162 Paperboard containers and boxes
171 Newspaper publishing and printing
172 Printing, publishing, and allied industries, except newspapers
180 Plastics, synthetics, and resins
181 Drugs
182 Soaps and cosmetics
185 Paints, varnishes, and related products
190 Agricultural chemicals
191 Industrial and miscellaneous chemicals
192 Petroleum and coal products
200 Petroleum refining
201 Miscellaneous petroleum and coal products
210 Tires and inner tubes
211 Other rubber products, and plastics footwear and belting
212 Miscellaneous plastics products
220 Leather tanning and finishing
221 Footwear, except rubber and plastic
222 Leather products, except footwear
230 Logging
231 Sawmills, planning mills, and millwork
232 Wood buildings and mobile homes
241 Miscellaneous wood products
242 Furniture and fixtures
250 Glass and glass products
251 Cement, concrete, gypsum, and plaster products
252 Structural clay products
261 Pottery and related products
262 Miscellaneous nonmetallic mineral and stone products
270 Blast furnaces, steelworks, rolling and finishing mills
271 Iron and steel foundries
272 Primary aluminum industries
280 Other primary metal industries
281 Cutlery, hand tools, and other hardware
282 Fabricated structural metal products
290 Screw machine products
291 Metal forgings and stampings
292 Ordnance
300 Miscellaneous fabricated metal products
301 Not specified metal industries
310 Engines and turbines
311 Farm machinery and equipment
312 Construction and material handling machines
320 Metalworking machinery
321 Office and accounting machines
322 Electronic computing equipment
331 Machinery, except electrical, n.e.c.
332 Not specified machinery
340 Household appliances
341 Radio, TV, and communication equipment
342 Electrical machinery, equipment, and supplies, n.e.c.
350 Not specified electrical machinery, equipment, and supplies
351 Motor vehicles and motor vehicle equipment
352 Aircraft and parts
360 Ship and boat building and repairing
361 Railroad locomotives and equipment
362 Guided missiles, space vehicles, and parts
370 Cycles and miscellaneous transportation equipment
371 Scientific and controlling instruments
372 Optical and health services supplies
380 Photographic equipment and supplies
381 Watches, clocks, and clockwork operated devices
382 Not specified professional equipment
390 Toys, amusement, and sporting goods
391 Miscellaneous manufacturing industries
392 Not specified manufacturing industries
400 Railroads
401 Bus service and urban transit
402 Taxicab service
410 Trucking service
411 Warehousing and storage
412 U.S. Postal Service
420 Water transportation
421 Air transportation
422 Pipe lines, except natural gas
432 Services incidental to transportation
440 Radio and television broadcasting
441 Telephone (wire and radio)
442 Telegraph and miscellaneous communication service
460 Electric light and power
461 Gas and steam supply systems
462 Electric and gas, and other combinations
470 Water supply and irrigation
471 Sanitary services
472 Not specified utilities
500 Motor vehicles and equipment
501 Furniture and home furnishings
502 Lumber and construction materials
510 Sporting goods, toys, and hobby goods
511 Metals and minerals, except petroleum
512 Electrical goods
521 Hardware, plumbing and heating supplies
522 Not specified electrical and hardware products
530 Machinery, equipment, and supplies
531 Scrap and waste materials
532 Miscellaneous wholesale, durable goods
540 Paper and paper products
541 Drugs, chemicals, and allied products
542 Apparel, fabrics, and notions
550 Groceries and related products
551 Farm products-raw materials
552 Petroleum products
560 Alcoholic beverages
561 Farm supplies
562 Miscellaneous wholesale, nondurable goods
571 Not specified wholesale trade
580 Lumber and building material retailing
581 Hardware stores
582 Retail nurseries and garden stores
590 Mobile home dealers
591 Department stores
592 Variety stores
600 Miscellaneous general merchandise stores
601 Grocery stores
602 Dairy products stores
610 Retail bakeries
611 Food stores, n.e.c.
612 Motor vehicle dealers
620 Auto and home supply stores
621 Gasoline service stations
622 Miscellaneous vehicle dealers
630 Apparel and accessory stores, except shoe
631 Shoe stores
632 Furniture and home furnishings stores
640 Household appliances, TV, and radio stores
641 Eating and drinking places
642 Drug stores
650 Liquor stores
651 Sporting goods, bicycles, and hobby stores
652 Book and stationery stores
660 Jewelry stores
661 Sewing, needlework, and piece goods stores
662 Mail order houses
670 Vending machine operators
671 Direct selling establishments
672 Fuel and ice dealers
681 Retail florists
682 Miscellaneous retail stores
691 Not specified retail trade
700 Banking
701 Savings and loan associations
702 Credit agencies, n.e.c.
710 Security, commodity brokerage, and investment companies
711 Insurance
712 Real estate, including real estate-insurance-law offices
721 Advertising
722 Services to dwellings and other buildings
730 Commercial research, development, and testing labs
731 Personnel supply services
732 Business management and consulting services
740 Computer and data processing services
741 Detective and protective services
742 Business services, n.e.c.
750 Automotive services, except repair
751 Automotive repair shops
752 Electrical repair shops
760 Miscellaneous repair services
761 Private households
762 Hotels and motels
770 Lodging places, except hotels and motels
771 Laundry, cleaning, and garment services
772 Beauty shops
780 Barber shops
781 Funeral service and crematories
782 Shoe repair shops
790 Dressmaking shops
791 Miscellaneous personal services
800 Theaters and motion pictures
801 Bowling alleys, billiard and pool parlors
802 Miscellaneous entertainment and recreation services
812 Offices of physicians
820 Offices of dentists
821 Offices of chiropractors
822 Offices of optometrists
830 Offices of health practitioners, n.e.c.
831 Hospitals
832 Nursing and personal care facilities
840 Health services, n.e.c.
841 Legal services
842 Elementary and secondary schools
850 Colleges and universities
851 Business, trade, and vocational schools
852 Libraries
860 Educational services, n.e.c.
861 Job training and vocational rehabilitation services
862 Child day care services
870 Residential care facilities, without nursing
871 Social services, n.e.c.
872 Museums, art galleries and zoos
880 Religious organizations
881 Membership organizations
882 Engineering, architectural, and surveying services
890 Accounting, auditing, and bookkeeping services
891 Noncommercial educational and scientific research
892 Miscellaneous professional and related services
900 Executive and legislative offices
901 General government, n.e.c.
910 Justice, public order, and safety
921 Public finance, taxation, and monetary policy
922 Administration of human resources programs
930 Administration of environmental quality and household programs
931 Administration of economic programs
932 National security and international affairs
998 DK
999 NA
48
SPOCC10 Label: Spouse census occupation code (2010)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers—extraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers—installation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers—production workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
49
SPOCCINDV Label: Spouse's occ/ind verbatim retrieved
Format: F8.0
Measure: Scale
Display Width: 11
Missing Values: -1
Value Label
-1 IAP
0 No verbatims for sp
1 Verbatims for sp
50
SPOCCSTATUS Label: SPOCC10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
51
SPOCCTAG Label: SPOCC10 coding tag
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
52
SPPRES10 Label: Spouse occupational prestige score (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
53
SPPRES105PLUS Label: Spouse occupational prestige score using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 15
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
54
SPIND10 Label: Spouse's industry code (NAICS 2007)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 Not applicable
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9999 No answer
55
SPINDSTATUS Label: SPIND10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
56
SPINDTAG Label: SPIND10 coding tag
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
57
COOCC10 Label: Partner's census occupation code (2010)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers—extraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers—installation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers—production workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
58
COIND10 Label: Partner's industry code (2010)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9999 No answer
59
PAOCC16 Label: Father's census occupation code (1970)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 990 THRU 999; 0
Value Label
0 IAP
990 NA
998 DK
60
PAPRES16 Label: Father's occupational prestige score (1970)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
61
PAWRKSLF Label: Father self-emp. or worked for somebody
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
62
PAIND16 Label: Father's industry code (1970)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 IAP
990 NA
998 DK
999 NA
63
PAOCC80 Label: Father's census occupation code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
3 Legislators
4 Chief Executives and General Admin., Public Admin
5 Administrators and Officials, Public Administration
6 Administrators, Protective Service
7 Financial Managers
8 Personnel and Labor Relations Managers
9 Purchasing Managers
13 Managers, Marketing, Advertising, and Public Relations
14 Administrators, Education and Related Fields
15 Managers, Medicine and Health
16 Managers, Properties and Real Estate
17 Postmasters and Mail Superintendents
18 Funeral Directors
19 Managers and Administrators, n.e.c.
23 Accountants and Auditors
24 Underwriters
25 Other Financial Officers
26 Management Analysts
27 Personnel, Training, and Labor Relations Specialists
28 Purchasing Agents and Buyers, Farm Products
29 Buyers, Wholesale and Retail Trade Except Farm Products
33 Purchasing Agents and Buyers
34 Business and Promotion Agents
35 Construction Inspectors
36 Inspectors/Compliance Officers, Except Construction
37 Management Related Occupations, n.e.c.
43 Architects
44 Aerospace Engineers
45 Metallurgical and Materials Engineers
46 Mining Engineers
47 Petroleum Engineers
48 Chemical Engineers
49 Nuclear Engineers
53 Civil Engineers
54 Agricultural Engineers
55 Electrical and Electronic Engineers
56 Industrial Engineers
57 Mechanical Engineers
58 Marine and Naval Architects
59 Engineers, n.e.c.
63 Surveyors and Mapping Scientists
64 Computer Systems Analysts and Scientists
65 Operations and Systems Researchers and Analysts
66 Actuaries
67 Statisticians
68 Mathematical Scientists, n.e.c.
69 Physicists and Astronomers
73 Chemists, Except Biochemists
74 Atmospheric and Space Scientists
75 Geologists and Geodesists
76 Physical Scientists, n.e.c.
77 Agricultural and Food Scientists
78 Biological and Life Scientists
79 Forestry and Conservation Scientists
83 Medical Scientists
84 Physicians
85 Dentists
86 Veterinarians
87 Optometrists
88 Podiatrists
89 Health Diagnosing Practitioners, n.e.c.
95 Registered Nurses
96 Pharmacists
97 Dietitians
98 Inhalation Therapists
99 Occupational Therapists
103 Physical Therapists
104 Speech Therapists
105 Therapists, n.e.c.
106 Physicians' Assistants
113 Earth, Environmental, and Marine Science Teachers
114 Biological Science Teachers
115 Chemistry Teachers
116 Physics Teachers
117 Natural Science Teachers, n.e.c.
118 Psychology Teachers
119 Economics Teachers
123 History Teachers
124 Political Science Teachers
125 Sociology Teachers
126 Social Science Teachers, n.e.c.
127 Engineering Teachers
128 Mathematical Science Teachers
129 Computer Science Teachers
133 Medical Science Teachers
134 Health Specialties Teachers
135 Business, Commerce, and Marketing Teachers
136 Agriculture and Forestry Teachers
137 Art, Drama, and Music Teachers
138 Physical Education Teachers
139 Education Teachers
143 English Teachers
144 Foreign Language Teachers
145 Law Teachers
146 Social Work Teachers
147 Theology Teachers
148 Trade and Industrial Teachers
149 Home Economics Teachers
153 Teachers, Postsecondary, n.e.c.
154 Postsecondary Teachers, Subject Not Specified
155 Teachers, Prekindergarten and Kindergarten
156 Teachers, Elementary School
157 Teachers, Secondary School
158 Teachers, Special Education
159 Teachers, n.e.c.
163 Counselors, Educational and Vocational
164 Librarians
165 Archivists and Curators
166 Economists
167 Psychologists
168 Sociologists
169 Social Scientists, n.e.c.
173 Urban Planners
174 Social Workers
175 Recreation Workers
176 Clergy
177 Religious Workers, n.e.c.
178 Lawyers
179 Judges
183 Authors
184 Technical Writers
185 Designers
186 Musicians and Composers
187 Actors and Directors
188 Painters, Sculptors, Craft-Artists, and Printmakers
189 Photographers
193 Dancers
194 Artists, Performers, and Related Workers, n.e.c.
195 Editors and Reporters
197 Public Relations Specialists
198 Announcers
199 Athletes
203 Clinical Laboratory Technologists and Technicians
204 Dental Hygienists
205 Health Record Technologists and Technicians
206 Radiologic Technicians
207 Licensed Practical Nurses
208 Health Technologists and Technicians, n.e.c.
213 Electrical and Electronic Technicians
214 Industrial Engineering Technicians
215 Mechanical Engineering Technicians
216 Engineering Technicians, n.e.c.
217 Drafting Occupations
218 Surveying and Mapping Technicians
223 Biological Technicians
224 Chemical Technicians
225 Science Technicians, n.e.c.
226 Airplane Pilots and Navigators
227 Air Traffic Controllers
228 Broadcast Equipment Operators
229 Computer Programmers
233 Tool Programmers, Numerical Control
234 Legal Assistants
235 Technicians, n.e.c.
243 Supervisors and Proprietors, Sales Occupations
253 Insurance Sales Occupations
254 Real Estate Sales Occupations
255 Securities and Financial Services Sales Occupations
256 Advertising and Related Sales Occupations
257 Sales Occupations, Other Business Services
258 Sales Engineers
259 Sales Rep., Mining, Manufacturing, and Wholesale
263 Sales Workers, Motor Vehicles and Boats
264 Sales Workers, Apparel
265 Sales Workers, Shoes
266 Sales Workers, Furniture and Home Furnishings
267 Sales Workers, Radio, TV, Hi-Fi, and Appliances
268 Sales Workers, Hardware and Building Supplies
269 Sales Workers, Parts
274 Sales Workers, Other Commodities
275 Sales Counter Clerks
276 Cashiers
277 Street and Door-To-Door Sales Workers
278 News Vendors
283 Demonstrators, Promoters and Models, Sales
284 Auctioneers
285 Sales Support Occupations, n.e.c.
303 Supervisors, General Office
304 Supervisors, Computer Equipment Operators
305 Supervisors, Financial Records Processing
306 Chief Communications Operators
307 Supervisors, Distribution, Scheduling, and Adjusting Clerks
308 Computer Operators
309 Peripheral Equipment Operators
313 Secretaries
314 Stenographers
315 Typists
316 Interviewers
317 Hotel Clerks
318 Transportation Ticket and Reservation Agents
319 Receptionists
323 Information Clerks, n.e.c.
325 Classified-Ad Clerks
326 Correspondence Clerks
327 Order Clerks
328 Personnel Clerks, Except Payroll and Timekeeping
329 Library Clerks
335 File Clerks
336 Records Clerks
337 Bookkeepers, Accounting and Auditing Clerks
338 Payroll and Timekeeping Clerks
339 Billing Clerks
343 Cost and Rate Clerks
344 Billing, Posting, and Calculating Machine Operators
345 Duplicating Machine Operators
346 Mail Preparing and Paper Handling Machine Operators
347 Office Machine Operators, n.e.c.
348 Telephone Operators
349 Telegraphers
353 Communications Equipment Operators, n.e.c.
354 Postal Clerks, Excluding Mail Carriers
355 Mail Carriers, Postal Service
356 Mail Clerks, Excluding Postal Service
357 Messengers
359 Dispatchers
363 Production Coordinators
364 Traffic, Shipping and Receiving Clerks
365 Stock and Inventory Clerks
366 Meter Readers
368 Weighers, Measurers, and Checkers
369 Samplers
373 Expediters
374 Material Recording, Scheduling and Distributing Clerks, n.e.c.
375 Insurance Adjusters, Examiners, and Investigators
376 Investigators and Adjusters, Except Insurance
377 Eligibility Clerks, Social Welfare
378 Bill and Account Collectors
379 General Office Clerks
383 Bank Tellers
384 Proofreaders
385 Data-Entry Keyers
386 Statistical Clerks
387 Teachers' Aides
389 Administrative Support Occupations, n.e.c.
403 Launderers and Ironers
404 Cooks, Private Household
405 Housekeepers and Butlers
406 Child Care Workers, Private Household
407 Private Household Cleaners and Servants
413 Supervisors, Firefighting and Fire Prevention Occupations
414 Supervisors, Police and Detectives
415 Supervisors, Guards
416 Fire Inspection and Fire Prevention Occupations
417 Firefighting Occupations
418 Police and Detectives, Public Service
423 Sheriffs, Bailiffs, and Other Law Enforcement Officers
424 Correctional Institution Officers
425 Crossing Guards
426 Guards and Police, Excluding Public Service
427 Protective Service Occupations
430 Former Member of the Armed Forces
431 Current Member of the Armed Forces
433 Supervisors, Food Preparation and Service Occupations
434 Bartenders
435 Waiters and Waitresses
436 Cooks, Except Short Order
437 Short-Order Cooks
438 Food Counter, Fountain and Related Occupations
439 Kitchen Workers, Food Preparation
443 Waiters'/Waitresses' Assistants
444 Miscellaneous Food Preparation Occupations
445 Dental Assistants
446 Health Aids, Except Nursing
447 Nursing Aides, Orderlies and Attendants
448 Supervisors, Cleaning and Building Service Workers
449 Maids and Housemen
453 Janitors and Cleaners
454 Elevator Operators
455 Pest Control Occupations
456 Supervisors, Personal Service Occupations
457 Barbers
458 Hairdressers and Cosmetologists
459 Attendants, Amusement and Recreation Facilities
463 Guides
464 Ushers
465 Public Transportation Attendants
466 Baggage Porters and Bellhops
467 Welfare Service Aides
468 Child Care Workers, Except Private Household
469 Personal Service Occupations, n.e.c.
473 Farmers, Except Horticultural
474 Horticultural Specialty Farmers
475 Managers, Farms, Except Horticultural
476 Managers, Horticultural Specialty Farms
477 Supervisors, Farm Workers
479 Farm Workers
483 Marine Life Cultivation Workers
484 Nursery Workers
485 Supervisors, Related Agricultural Occupations
486 Groundskeepers and Gardeners, Except Farm
487 Animal Caretakers, Except Farm
488 Graders and Sorters, Agricultural Products
489 Inspectors, Agricultural Products
494 Supervisors, Forestry and Logging Workers
495 Forestry Workers, Except Logging
496 Timber Cutting and Logging Occupations
497 Captains and Other Officers, Fishing Vessels
498 Fishers
499 Hunters and Trappers
503 Supervisors, Mechanics and Repairers
505 Automobile Mechanics, Except Apprentices
506 Automobile Mechanic Apprentices
507 Bus, Truck, and Stationary Engine Mechanics
508 Aircraft Engine Mechanics
509 Small Engine Repairers
514 Automobile Body and Related Repairers
515 Aircraft Mechanics, Excluding Engine
516 Heavy Equipment Mechanics
517 Farm Equipment Mechanics
518 Industrial Machinery Repairers
519 Machinery Maintenance Occupations
523 Electronic Repairers, Communications and Industrial Equipment
525 Data Processing Equipment Repairers
526 Household Appliance and Power Tool Repairers
527 Telephone Line Installers and Repairers
529 Telephone Installers and Repairers
533 Misc. Electrical and Electronic Equipment Repairers
534 Heating, Air Conditioning, and Refrigeration Mechanics
535 Camera, Watch, and Musical Instrument Repairers
536 Locksmiths and Safe Repairers
538 Office Machine Repairers
539 Mechanical Controls and Valve Repairers
543 Elevator Installers and Repairers
544 Millwrights
547 Specified Mechanics and Repairers, n.e.c.
549 Not Specified Mechanics and Repairers
553 Supervisors, Brickmasons, Stonemasons, and Title Setters
554 Supervisors, Carpenters and Related Work
555 Supervisors, Electricians and Power Transmission Installers
556 Supervisors, Painters, Paperhangers, and Plasterers
557 Supervisors, Plumbers, Pipefitters, and Steamfitters
558 Supervisors, n.e.c.
563 Brickmasons and Stonemasons, Except Apprentices
564 Brickmasons and Stonemasons Apprentices
565 Tile Setters, Hard and Soft
566 Carpet Installers
567 Carpenters, Except Apprentices
569 Carpenter Apprentices
573 Drywall Installers
575 Electricians, Except Apprentices
576 Electrician Apprentices
577 Electrical Power Installers and Repairers
579 Painters, Construction and Maintenance
583 Paperhangers
584 Plasterers
585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices
587 Plumber, Pipefitter, and Steamfitter Apprentices
588 Concrete and Terrazzo Finishers
589 Glaziers
593 Insulation Workers
594 Paving, Surfacing, and Tamping Equipment Operators
595 Roofers
596 Sheetmetal Duct Installers
597 Structural Metal Workers
598 Drillers, Earth
599 Construction Trades, n.e.c.
613 Supervisors, Extractive Occupations
614 Drillers, Oil Well
615 Explosives Workers
616 Mining Machine Operators
617 Mining Occupations, n.e.c.
633 Supervisors, Production Occupations
634 Tool and Die Makers, Except Apprentices
635 Tool and Die Maker Apprentices
636 Precision Assemblers, Metal
637 Machinists, Except Apprentices
639 Machinist Apprentices
643 Boilermakers
644 Precision Grinders, Fitters, and Tool Sharpeners
645 Patternmakers and Model Makers, Metal
646 Lay-Out Workers
647 Precious Stones and Metals Workers
649 Engravers, Metal
653 Sheet Metal Workers, Except Apprentices
654 Sheet Metal Worker, Apprentices
655 Miscellaneous Precision Metal Workers
656 Patternmakers and Model Makers, Wood
657 Cabinet Makers and Bench Carpenters
658 Furniture and Wood Finishers
659 Miscellaneous Precision Woodworkers
666 Dressmakers
667 Tailors
668 Upholsterers
669 Shoe Repairers
673 Apparel and Fabric Patternmakers
674 Miscellaneous Precision Apparel and Fabric Workers
675 Hand Molders and Shapers, Except Jewelers
676 Patternmakers, Lay-Out Workers, and Cutters
677 Optical Goods Workers
678 Dental Laboratory and Medical Appliance Technicians
679 Bookbinders
683 Electrical and Electronic Equipment Assemblers
684 Miscellaneous Precision Workers, n.e.c.
686 Butchers and Meat Cutters
687 Bakers
688 Food Batchmakers
689 Inspectors, Testers, and Graders
693 Adjusters and Calibrators
694 Water and Sewage Treatment Plant Operators
695 Power Plant Operators
696 Stationary Engineers
699 Miscellaneous Plant and System Operators
703 Lathe and Turning Machine Set-Up Operators
704 Lathe and Turning Machine Operators
705 Milling and Planing Machine Operators
706 Punching and Stamping Press Machine Operators
707 Rolling Machine Operators
708 Drilling and Boring Machine Operators
709 Grinding, Abrading, Buffing, and Polishing Machine Operators
713 Forging Machine Operators
714 Numerical control machine operators
715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators
717 Fabricating Machine Operators, n.e.c.
719 Molding and Casting Machine Operators
723 Metal Plating Machine Operators
724 Heat Treating Equipment Operators
725 Miscellaneous Metal and Plastic Processing Machine Operators
726 Wood Lathe, Routing and Planing Machine Operators
727 Sawing Machine Operators
728 Shaping and Joining Machine Operators
729 Nailing and Tacking Machine Operators
733 Miscellaneous Woodworking Machine Operators
734 Printing Machine Operators
735 Photoengravers and Lithographers
736 Typesetters and Compositors
737 Miscellaneous Printing Machine Operators
738 Winding and Twisting Machine Operators
739 Knitting, Looping, Taping, and Weaving Machine Operators
743 Textile Cutting Machine Operators
744 Textile Sewing Machine Operators
745 Shoe Machine Operators
747 Pressing Machine Operators
748 Laundering and Dry Cleaning Machine Operators
749 Miscellaneous Textile Machine Operators
753 Cementing and Gluing Machine Operators
754 Packaging and Filling Machine Operators
755 Extruding and Forming Machine Operators
756 Mixing and Blending Machine Operators
757 Separating, Filtering, and Clarifying Machine Operators
758 Compressing and Compacting Machine Operators
759 Painting and Paint Spraying Machine Operators
763 Roasting and Baking Machine Operators, Food
764 Washing, Cleaning, and Pickling Machine Operators
765 Folding Machine Operators
766 Furnace, Kiln, and Oven Operators, Except Food
768 Crushing and Grinding Machine Operators
769 Slicing and Cutting Machine Operators
773 Motion Picture Projectionists
774 Photographic Process Machine Operators
777 Miscellaneous and Not Specified Machine Operators, n.e.c.
779 Machine Operators, Not Specified
783 Welders and Cutters
784 Solderers and Blazers
785 Assemblers
786 Hand Cutting and Trimming Occupations
787 Hand Molding, Casting, and Forming Occupations
789 Hand Painting,Coating, and Decorating Occupations
793 Hand Engraving and Printing Occupations
794 Hand Grinding and Polishing Occupations
795 Miscellaneous Hand Working Occupations
796 Production Inspectors, Checkers, and Examiners
797 Production Testers
798 Production Samplers and Weighers
799 Graders and Sorters, Except Agricultural
803 Supervisors, Motor Vehicle Operators
804 Truck Drivers, Heavy
805 Truck Drivers, Light
806 Driver-Sales Workers
808 Bus Drivers
809 Taxicab Drivers and Chauffeurs
813 Parking Lot Attendants
814 Motor Transportation Occupations, n.e.c.
823 Railroad Conductors and Yardmasters
824 Locomotive Operating Occupations
825 Railroad Brake, Signal, and Switch Operators
826 Rail Vehicle Operators, n.e.c.
828 Ship Captains and Mates, Except Fishing Boats
829 Sailors and Deckhands
833 Marine Engineers
834 Bridge, Lock and Lighthouse Tenders
843 Supervisors, Material Moving Equipment Operators
844 Operating Engineers
845 Longshore Equipment Operators
848 Hoist and Winch Operators
849 Crane and Tower Operators
853 Excavating and Loading Machine Operators
855 Grader, Dozer, and Scraper Operators
856 Industrial Truck and Tractor Equipment Operators
859 Miscellaneous Material Moving Equipment Operators
863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c.
864 Helpers, Mechanics and Repairers
865 Helpers, Construction Trades
866 Helpers, Surveyor
867 Helpers, Extractive Occupations
869 Construction Laborers
873 Production Helpers
875 Garbage Collectors
876 Stevedores
877 Stock Handlers and Baggers
878 Machine Feeders and Offbearers
883 Freight, Stock, and Material Handlers, n.e.c.
885 Garage and Service Station Related Occupations
887 Vehicle Washers and Equipment Cleaners
888 Hand Packers and Packagers
889 Laborers, Except Construction
998 DK
999 NA
64
PAPRES80 Label: Father's occupational prestige score (1980)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
65
PAIND80 Label: Father's industry code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
10 Agricultural production, crops
11 Agricultural production, livestock
20 Agricultural services, except horticultural
21 Horticultural services
30 Forestry
31 Fishing, hunting, and trapping, etc.
40 Metal mining
41 Coal mining
42 Crude petroleum and natural gas extraction
50 Nonmetallic mining and quarrying, except fuel
60 CONSTRUCTION
100 Meat products
101 Dairy products
102 Canned and preserved fruits and vegetables
110 Grain mill products
111 Bakery products
112 Sugar and confectionery products
120 Beverage industries
121 Miscellaneous food preparations and kindred products
122 Not specified food industries
130 Tobacco manufactures
132 Knitting mills
140 Dyeing and finishing textiles, except wool and knit goods
141 Floor coverings, except hard surface
142 Yarn, thread, and fabric mills
150 Miscellaneous textile mill products
151 Apparel and accessories, except knit
152 Miscellaneous fabricated textile products
160 Pulp, paper, and paperboard mills
161 Miscellaneous paper and pulp products
162 Paperboard containers and boxes
171 Newspaper publishing and printing
172 Printing, publishing, and allied industries, except newspapers
180 Plastics, synthetics, and resins
181 Drugs
182 Soaps and cosmetics
185 Paints, varnishes, and related products
190 Agricultural chemicals
191 Industrial and miscellaneous chemicals
192 Petroleum and coal products
200 Petroleum refining
201 Miscellaneous petroleum and coal products
210 Tires and inner tubes
211 Other rubber products, and plastics footwear and belting
212 Miscellaneous plastics products
220 Leather tanning and finishing
221 Footwear, except rubber and plastic
222 Leather products, except footwear
230 Logging
231 Sawmills, planning mills, and millwork
232 Wood buildings and mobile homes
241 Miscellaneous wood products
242 Furniture and fixtures
250 Glass and glass products
251 Cement, concrete, gypsum, and plaster products
252 Structural clay products
261 Pottery and related products
262 Miscellaneous nonmetallic mineral and stone products
270 Blast furnaces, steelworks, rolling and finishing mills
271 Iron and steel foundries
272 Primary aluminum industries
280 Other primary metal industries
281 Cutlery, hand tools, and other hardware
282 Fabricated structural metal products
290 Screw machine products
291 Metal forgings and stampings
292 Ordnance
300 Miscellaneous fabricated metal products
301 Not specified metal industries
310 Engines and turbines
311 Farm machinery and equipment
312 Construction and material handling machines
320 Metalworking machinery
321 Office and accounting machines
322 Electronic computing equipment
331 Machinery, except electrical, n.e.c.
332 Not specified machinery
340 Household appliances
341 Radio, TV, and communication equipment
342 Electrical machinery, equipment, and supplies, n.e.c.
350 Not specified electrical machinery, equipment, and supplies
351 Motor vehicles and motor vehicle equipment
352 Aircraft and parts
360 Ship and boat building and repairing
361 Railroad locomotives and equipment
362 Guided missiles, space vehicles, and parts
370 Cycles and miscellaneous transportation equipment
371 Scientific and controlling instruments
372 Optical and health services supplies
380 Photographic equipment and supplies
381 Watches, clocks, and clockwork operated devices
382 Not specified professional equipment
390 Toys, amusement, and sporting goods
391 Miscellaneous manufacturing industries
392 Not specified manufacturing industries
400 Railroads
401 Bus service and urban transit
402 Taxicab service
410 Trucking service
411 Warehousing and storage
412 U.S. Postal Service
420 Water transportation
421 Air transportation
422 Pipe lines, except natural gas
432 Services incidental to transportation
440 Radio and television broadcasting
441 Telephone (wire and radio)
442 Telegraph and miscellaneous communication service
460 Electric light and power
461 Gas and steam supply systems
462 Electric and gas, and other combinations
470 Water supply and irrigation
471 Sanitary services
472 Not specified utilities
500 Motor vehicles and equipment
501 Furniture and home furnishings
502 Lumber and construction materials
510 Sporting goods, toys, and hobby goods
511 Metals and minerals, except petroleum
512 Electrical goods
521 Hardware, plumbing and heating supplies
522 Not specified electrical and hardware products
530 Machinery, equipment, and supplies
531 Scrap and waste materials
532 Miscellaneous wholesale, durable goods
540 Paper and paper products
541 Drugs, chemicals, and allied products
542 Apparel, fabrics, and notions
550 Groceries and related products
551 Farm products-raw materials
552 Petroleum products
560 Alcoholic beverages
561 Farm supplies
562 Miscellaneous wholesale, nondurable goods
571 Not specified wholesale trade
580 Lumber and building material retailing
581 Hardware stores
582 Retail nurseries and garden stores
590 Mobile home dealers
591 Department stores
592 Variety stores
600 Miscellaneous general merchandise stores
601 Grocery stores
602 Dairy products stores
610 Retail bakeries
611 Food stores, n.e.c.
612 Motor vehicle dealers
620 Auto and home supply stores
621 Gasoline service stations
622 Miscellaneous vehicle dealers
630 Apparel and accessory stores, except shoe
631 Shoe stores
632 Furniture and home furnishings stores
640 Household appliances, TV, and radio stores
641 Eating and drinking places
642 Drug stores
650 Liquor stores
651 Sporting goods, bicycles, and hobby stores
652 Book and stationery stores
660 Jewelry stores
661 Sewing, needlework, and piece goods stores
662 Mail order houses
670 Vending machine operators
671 Direct selling establishments
672 Fuel and ice dealers
681 Retail florists
682 Miscellaneous retail stores
691 Not specified retail trade
700 Banking
701 Savings and loan associations
702 Credit agencies, n.e.c.
710 Security, commodity brokerage, and investment companies
711 Insurance
712 Real estate, including real estate-insurance-law offices
721 Advertising
722 Services to dwellings and other buildings
730 Commercial research, development, and testing labs
731 Personnel supply services
732 Business management and consulting services
740 Computer and data processing services
741 Detective and protective services
742 Business services, n.e.c.
750 Automotive services, except repair
751 Automotive repair shops
752 Electrical repair shops
760 Miscellaneous repair services
761 Private households
762 Hotels and motels
770 Lodging places, except hotels and motels
771 Laundry, cleaning, and garment services
772 Beauty shops
780 Barber shops
781 Funeral service and crematories
782 Shoe repair shops
790 Dressmaking shops
791 Miscellaneous personal services
800 Theaters and motion pictures
801 Bowling alleys, billiard and pool parlors
802 Miscellaneous entertainment and recreation services
812 Offices of physicians
820 Offices of dentists
821 Offices of chiropractors
822 Offices of optometrists
830 Offices of health practitioners, n.e.c.
831 Hospitals
832 Nursing and personal care facilities
840 Health services, n.e.c.
841 Legal services
842 Elementary and secondary schools
850 Colleges and universities
851 Business, trade, and vocational schools
852 Libraries
860 Educational services, n.e.c.
861 Job training and vocational rehabilitation services
862 Child day care services
870 Residential care facilities, without nursing
871 Social services, n.e.c.
872 Museums, art galleries and zoos
880 Religious organizations
881 Membership organizations
882 Engineering, architectural, and surveying services
890 Accounting, auditing, and bookkeeping services
891 Noncommercial educational and scientific research
892 Miscellaneous professional and related services
900 Executive and legislative offices
901 General government, n.e.c.
910 Justice, public order, and safety
921 Public finance, taxation, and monetary policy
922 Administration of human resources programs
930 Administration of environmental quality and household programs
931 Administration of economic programs
932 National security and international affairs
998 DK
999 NA
66
PAOCC10 Label: Father's census occupation code (2010)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers—extraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers—installation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers—production workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
67
PAOCCINDV Label: Father's occ/ind verbatim retrieved
Format: F8.0
Measure: Scale
Display Width: 11
Missing Values: -1
Value Label
-1 IAP
0 No verbatims for pa
1 Verbatims for pa
68
PAOCCSTATUS Label: PAOCC10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
69
PAOCCTAG Label: PAOCC10 coding tag
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
70
PAPRES10 Label: Father's occupational prestige score (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
71
PAPRES105PLUS Label: Father's occupational prestige score using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 15
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
72
PAIND10 Label: Father's industry code (NAICS 2007)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 Not applicable
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9999 No answer
73
PAINDSTATUS Label: PAIND10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
74
PAINDTAG Label: PAIND10 coding tag
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
75
MAOCC80 Label: Mothers census occupation code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
3 Legislators
4 Chief Executives and General Admin., Public Admin
5 Administrators and Officials, Public Administration
6 Administrators, Protective Service
7 Financial Managers
8 Personnel and Labor Relations Managers
9 Purchasing Managers
13 Managers, Marketing, Advertising, and Public Relations
14 Administrators, Education and Related Fields
15 Managers, Medicine and Health
16 Managers, Properties and Real Estate
17 Postmasters and Mail Superintendents
18 Funeral Directors
19 Managers and Administrators, n.e.c.
23 Accountants and Auditors
24 Underwriters
25 Other Financial Officers
26 Management Analysts
27 Personnel, Training, and Labor Relations Specialists
28 Purchasing Agents and Buyers, Farm Products
29 Buyers, Wholesale and Retail Trade Except Farm Products
33 Purchasing Agents and Buyers
34 Business and Promotion Agents
35 Construction Inspectors
36 Inspectors/Compliance Officers, Except Construction
37 Management Related Occupations, n.e.c.
43 Architects
44 Aerospace Engineers
45 Metallurgical and Materials Engineers
46 Mining Engineers
47 Petroleum Engineers
48 Chemical Engineers
49 Nuclear Engineers
53 Civil Engineers
54 Agricultural Engineers
55 Electrical and Electronic Engineers
56 Industrial Engineers
57 Mechanical Engineers
58 Marine and Naval Architects
59 Engineers, n.e.c.
63 Surveyors and Mapping Scientists
64 Computer Systems Analysts and Scientists
65 Operations and Systems Researchers and Analysts
66 Actuaries
67 Statisticians
68 Mathematical Scientists, n.e.c.
69 Physicists and Astronomers
73 Chemists, Except Biochemists
74 Atmospheric and Space Scientists
75 Geologists and Geodesists
76 Physical Scientists, n.e.c.
77 Agricultural and Food Scientists
78 Biological and Life Scientists
79 Forestry and Conservation Scientists
83 Medical Scientists
84 Physicians
85 Dentists
86 Veterinarians
87 Optometrists
88 Podiatrists
89 Health Diagnosing Practitioners, n.e.c.
95 Registered Nurses
96 Pharmacists
97 Dietitians
98 Inhalation Therapists
99 Occupational Therapists
103 Physical Therapists
104 Speech Therapists
105 Therapists, n.e.c.
106 Physicians' Assistants
113 Earth, Environmental, and Marine Science Teachers
114 Biological Science Teachers
115 Chemistry Teachers
116 Physics Teachers
117 Natural Science Teachers, n.e.c.
118 Psychology Teachers
119 Economics Teachers
123 History Teachers
124 Political Science Teachers
125 Sociology Teachers
126 Social Science Teachers, n.e.c.
127 Engineering Teachers
128 Mathematical Science Teachers
129 Computer Science Teachers
133 Medical Science Teachers
134 Health Specialties Teachers
135 Business, Commerce, and Marketing Teachers
136 Agriculture and Forestry Teachers
137 Art, Drama, and Music Teachers
138 Physical Education Teachers
139 Education Teachers
143 English Teachers
144 Foreign Language Teachers
145 Law Teachers
146 Social Work Teachers
147 Theology Teachers
148 Trade and Industrial Teachers
149 Home Economics Teachers
153 Teachers, Postsecondary, n.e.c.
154 Postsecondary Teachers, Subject Not Specified
155 Teachers, Prekindergarten and Kindergarten
156 Teachers, Elementary School
157 Teachers, Secondary School
158 Teachers, Special Education
159 Teachers, n.e.c.
163 Counselors, Educational and Vocational
164 Librarians
165 Archivists and Curators
166 Economists
167 Psychologists
168 Sociologists
169 Social Scientists, n.e.c.
173 Urban Planners
174 Social Workers
175 Recreation Workers
176 Clergy
177 Religious Workers, n.e.c.
178 Lawyers
179 Judges
183 Authors
184 Technical Writers
185 Designers
186 Musicians and Composers
187 Actors and Directors
188 Painters, Sculptors, Craft-Artists, and Printmakers
189 Photographers
193 Dancers
194 Artists, Performers, and Related Workers, n.e.c.
195 Editors and Reporters
197 Public Relations Specialists
198 Announcers
199 Athletes
203 Clinical Laboratory Technologists and Technicians
204 Dental Hygienists
205 Health Record Technologists and Technicians
206 Radiologic Technicians
207 Licensed Practical Nurses
208 Health Technologists and Technicians, n.e.c.
213 Electrical and Electronic Technicians
214 Industrial Engineering Technicians
215 Mechanical Engineering Technicians
216 Engineering Technicians, n.e.c.
217 Drafting Occupations
218 Surveying and Mapping Technicians
223 Biological Technicians
224 Chemical Technicians
225 Science Technicians, n.e.c.
226 Airplane Pilots and Navigators
227 Air Traffic Controllers
228 Broadcast Equipment Operators
229 Computer Programmers
233 Tool Programmers, Numerical Control
234 Legal Assistants
235 Technicians, n.e.c.
243 Supervisors and Proprietors, Sales Occupations
253 Insurance Sales Occupations
254 Real Estate Sales Occupations
255 Securities and Financial Services Sales Occupations
256 Advertising and Related Sales Occupations
257 Sales Occupations, Other Business Services
258 Sales Engineers
259 Sales Rep., Mining, Manufacturing, and Wholesale
263 Sales Workers, Motor Vehicles and Boats
264 Sales Workers, Apparel
265 Sales Workers, Shoes
266 Sales Workers, Furniture and Home Furnishings
267 Sales Workers, Radio, TV, Hi-Fi, and Appliances
268 Sales Workers, Hardware and Building Supplies
269 Sales Workers, Parts
274 Sales Workers, Other Commodities
275 Sales Counter Clerks
276 Cashiers
277 Street and Door-To-Door Sales Workers
278 News Vendors
283 Demonstrators, Promoters and Models, Sales
284 Auctioneers
285 Sales Support Occupations, n.e.c.
303 Supervisors, General Office
304 Supervisors, Computer Equipment Operators
305 Supervisors, Financial Records Processing
306 Chief Communications Operators
307 Supervisors, Distribution, Scheduling, and Adjusting Clerks
308 Computer Operators
309 Peripheral Equipment Operators
313 Secretaries
314 Stenographers
315 Typists
316 Interviewers
317 Hotel Clerks
318 Transportation Ticket and Reservation Agents
319 Receptionists
323 Information Clerks, n.e.c.
325 Classified-Ad Clerks
326 Correspondence Clerks
327 Order Clerks
328 Personnel Clerks, Except Payroll and Timekeeping
329 Library Clerks
335 File Clerks
336 Records Clerks
337 Bookkeepers, Accounting and Auditing Clerks
338 Payroll and Timekeeping Clerks
339 Billing Clerks
343 Cost and Rate Clerks
344 Billing, Posting, and Calculating Machine Operators
345 Duplicating Machine Operators
346 Mail Preparing and Paper Handling Machine Operators
347 Office Machine Operators, n.e.c.
348 Telephone Operators
349 Telegraphers
353 Communications Equipment Operators, n.e.c.
354 Postal Clerks, Excluding Mail Carriers
355 Mail Carriers, Postal Service
356 Mail Clerks, Excluding Postal Service
357 Messengers
359 Dispatchers
363 Production Coordinators
364 Traffic, Shipping and Receiving Clerks
365 Stock and Inventory Clerks
366 Meter Readers
368 Weighers, Measurers, and Checkers
369 Samplers
373 Expediters
374 Material Recording, Scheduling and Distributing Clerks, n.e.c.
375 Insurance Adjusters, Examiners, and Investigators
376 Investigators and Adjusters, Except Insurance
377 Eligibility Clerks, Social Welfare
378 Bill and Account Collectors
379 General Office Clerks
383 Bank Tellers
384 Proofreaders
385 Data-Entry Keyers
386 Statistical Clerks
387 Teachers' Aides
389 Administrative Support Occupations, n.e.c.
403 Launderers and Ironers
404 Cooks, Private Household
405 Housekeepers and Butlers
406 Child Care Workers, Private Household
407 Private Household Cleaners and Servants
413 Supervisors, Firefighting and Fire Prevention Occupations
414 Supervisors, Police and Detectives
415 Supervisors, Guards
416 Fire Inspection and Fire Prevention Occupations
417 Firefighting Occupations
418 Police and Detectives, Public Service
423 Sheriffs, Bailiffs, and Other Law Enforcement Officers
424 Correctional Institution Officers
425 Crossing Guards
426 Guards and Police, Excluding Public Service
427 Protective Service Occupations
430 Former Member of the Armed Forces
431 Current Member of the Armed Forces
433 Supervisors, Food Preparation and Service Occupations
434 Bartenders
435 Waiters and Waitresses
436 Cooks, Except Short Order
437 Short-Order Cooks
438 Food Counter, Fountain and Related Occupations
439 Kitchen Workers, Food Preparation
443 Waiters'/Waitresses' Assistants
444 Miscellaneous Food Preparation Occupations
445 Dental Assistants
446 Health Aids, Except Nursing
447 Nursing Aides, Orderlies and Attendants
448 Supervisors, Cleaning and Building Service Workers
449 Maids and Housemen
453 Janitors and Cleaners
454 Elevator Operators
455 Pest Control Occupations
456 Supervisors, Personal Service Occupations
457 Barbers
458 Hairdressers and Cosmetologists
459 Attendants, Amusement and Recreation Facilities
463 Guides
464 Ushers
465 Public Transportation Attendants
466 Baggage Porters and Bellhops
467 Welfare Service Aides
468 Child Care Workers, Except Private Household
469 Personal Service Occupations, n.e.c.
473 Farmers, Except Horticultural
474 Horticultural Specialty Farmers
475 Managers, Farms, Except Horticultural
476 Managers, Horticultural Specialty Farms
477 Supervisors, Farm Workers
479 Farm Workers
483 Marine Life Cultivation Workers
484 Nursery Workers
485 Supervisors, Related Agricultural Occupations
486 Groundskeepers and Gardeners, Except Farm
487 Animal Caretakers, Except Farm
488 Graders and Sorters, Agricultural Products
489 Inspectors, Agricultural Products
494 Supervisors, Forestry and Logging Workers
495 Forestry Workers, Except Logging
496 Timber Cutting and Logging Occupations
497 Captains and Other Officers, Fishing Vessels
498 Fishers
499 Hunters and Trappers
503 Supervisors, Mechanics and Repairers
505 Automobile Mechanics, Except Apprentices
506 Automobile Mechanic Apprentices
507 Bus, Truck, and Stationary Engine Mechanics
508 Aircraft Engine Mechanics
509 Small Engine Repairers
514 Automobile Body and Related Repairers
515 Aircraft Mechanics, Excluding Engine
516 Heavy Equipment Mechanics
517 Farm Equipment Mechanics
518 Industrial Machinery Repairers
519 Machinery Maintenance Occupations
523 Electronic Repairers, Communications and Industrial Equipment
525 Data Processing Equipment Repairers
526 Household Appliance and Power Tool Repairers
527 Telephone Line Installers and Repairers
529 Telephone Installers and Repairers
533 Misc. Electrical and Electronic Equipment Repairers
534 Heating, Air Conditioning, and Refrigeration Mechanics
535 Camera, Watch, and Musical Instrument Repairers
536 Locksmiths and Safe Repairers
538 Office Machine Repairers
539 Mechanical Controls and Valve Repairers
543 Elevator Installers and Repairers
544 Millwrights
547 Specified Mechanics and Repairers, n.e.c.
549 Not Specified Mechanics and Repairers
553 Supervisors, Brickmasons, Stonemasons, and Title Setters
554 Supervisors, Carpenters and Related Work
555 Supervisors, Electricians and Power Transmission Installers
556 Supervisors, Painters, Paperhangers, and Plasterers
557 Supervisors, Plumbers, Pipefitters, and Steamfitters
558 Supervisors, n.e.c.
563 Brickmasons and Stonemasons, Except Apprentices
564 Brickmasons and Stonemasons Apprentices
565 Tile Setters, Hard and Soft
566 Carpet Installers
567 Carpenters, Except Apprentices
569 Carpenter Apprentices
573 Drywall Installers
575 Electricians, Except Apprentices
576 Electrician Apprentices
577 Electrical Power Installers and Repairers
579 Painters, Construction and Maintenance
583 Paperhangers
584 Plasterers
585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices
587 Plumber, Pipefitter, and Steamfitter Apprentices
588 Concrete and Terrazzo Finishers
589 Glaziers
593 Insulation Workers
594 Paving, Surfacing, and Tamping Equipment Operators
595 Roofers
596 Sheetmetal Duct Installers
597 Structural Metal Workers
598 Drillers, Earth
599 Construction Trades, n.e.c.
613 Supervisors, Extractive Occupations
614 Drillers, Oil Well
615 Explosives Workers
616 Mining Machine Operators
617 Mining Occupations, n.e.c.
633 Supervisors, Production Occupations
634 Tool and Die Makers, Except Apprentices
635 Tool and Die Maker Apprentices
636 Precision Assemblers, Metal
637 Machinists, Except Apprentices
639 Machinist Apprentices
643 Boilermakers
644 Precision Grinders, Fitters, and Tool Sharpeners
645 Patternmakers and Model Makers, Metal
646 Lay-Out Workers
647 Precious Stones and Metals Workers
649 Engravers, Metal
653 Sheet Metal Workers, Except Apprentices
654 Sheet Metal Worker, Apprentices
655 Miscellaneous Precision Metal Workers
656 Patternmakers and Model Makers, Wood
657 Cabinet Makers and Bench Carpenters
658 Furniture and Wood Finishers
659 Miscellaneous Precision Woodworkers
666 Dressmakers
667 Tailors
668 Upholsterers
669 Shoe Repairers
673 Apparel and Fabric Patternmakers
674 Miscellaneous Precision Apparel and Fabric Workers
675 Hand Molders and Shapers, Except Jewelers
676 Patternmakers, Lay-Out Workers, and Cutters
677 Optical Goods Workers
678 Dental Laboratory and Medical Appliance Technicians
679 Bookbinders
683 Electrical and Electronic Equipment Assemblers
684 Miscellaneous Precision Workers, n.e.c.
686 Butchers and Meat Cutters
687 Bakers
688 Food Batchmakers
689 Inspectors, Testers, and Graders
693 Adjusters and Calibrators
694 Water and Sewage Treatment Plant Operators
695 Power Plant Operators
696 Stationary Engineers
699 Miscellaneous Plant and System Operators
703 Lathe and Turning Machine Set-Up Operators
704 Lathe and Turning Machine Operators
705 Milling and Planing Machine Operators
706 Punching and Stamping Press Machine Operators
707 Rolling Machine Operators
708 Drilling and Boring Machine Operators
709 Grinding, Abrading, Buffing, and Polishing Machine Operators
713 Forging Machine Operators
714 Numerical control machine operators
715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators
717 Fabricating Machine Operators, n.e.c.
719 Molding and Casting Machine Operators
723 Metal Plating Machine Operators
724 Heat Treating Equipment Operators
725 Miscellaneous Metal and Plastic Processing Machine Operators
726 Wood Lathe, Routing and Planing Machine Operators
727 Sawing Machine Operators
728 Shaping and Joining Machine Operators
729 Nailing and Tacking Machine Operators
733 Miscellaneous Woodworking Machine Operators
734 Printing Machine Operators
735 Photoengravers and Lithographers
736 Typesetters and Compositors
737 Miscellaneous Printing Machine Operators
738 Winding and Twisting Machine Operators
739 Knitting, Looping, Taping, and Weaving Machine Operators
743 Textile Cutting Machine Operators
744 Textile Sewing Machine Operators
745 Shoe Machine Operators
747 Pressing Machine Operators
748 Laundering and Dry Cleaning Machine Operators
749 Miscellaneous Textile Machine Operators
753 Cementing and Gluing Machine Operators
754 Packaging and Filling Machine Operators
755 Extruding and Forming Machine Operators
756 Mixing and Blending Machine Operators
757 Separating, Filtering, and Clarifying Machine Operators
758 Compressing and Compacting Machine Operators
759 Painting and Paint Spraying Machine Operators
763 Roasting and Baking Machine Operators, Food
764 Washing, Cleaning, and Pickling Machine Operators
765 Folding Machine Operators
766 Furnace, Kiln, and Oven Operators, Except Food
768 Crushing and Grinding Machine Operators
769 Slicing and Cutting Machine Operators
773 Motion Picture Projectionists
774 Photographic Process Machine Operators
777 Miscellaneous and Not Specified Machine Operators, n.e.c.
779 Machine Operators, Not Specified
783 Welders and Cutters
784 Solderers and Blazers
785 Assemblers
786 Hand Cutting and Trimming Occupations
787 Hand Molding, Casting, and Forming Occupations
789 Hand Painting,Coating, and Decorating Occupations
793 Hand Engraving and Printing Occupations
794 Hand Grinding and Polishing Occupations
795 Miscellaneous Hand Working Occupations
796 Production Inspectors, Checkers, and Examiners
797 Production Testers
798 Production Samplers and Weighers
799 Graders and Sorters, Except Agricultural
803 Supervisors, Motor Vehicle Operators
804 Truck Drivers, Heavy
805 Truck Drivers, Light
806 Driver-Sales Workers
808 Bus Drivers
809 Taxicab Drivers and Chauffeurs
813 Parking Lot Attendants
814 Motor Transportation Occupations, n.e.c.
823 Railroad Conductors and Yardmasters
824 Locomotive Operating Occupations
825 Railroad Brake, Signal, and Switch Operators
826 Rail Vehicle Operators, n.e.c.
828 Ship Captains and Mates, Except Fishing Boats
829 Sailors and Deckhands
833 Marine Engineers
834 Bridge, Lock and Lighthouse Tenders
843 Supervisors, Material Moving Equipment Operators
844 Operating Engineers
845 Longshore Equipment Operators
848 Hoist and Winch Operators
849 Crane and Tower Operators
853 Excavating and Loading Machine Operators
855 Grader, Dozer, and Scraper Operators
856 Industrial Truck and Tractor Equipment Operators
859 Miscellaneous Material Moving Equipment Operators
863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c.
864 Helpers, Mechanics and Repairers
865 Helpers, Construction Trades
866 Helpers, Surveyor
867 Helpers, Extractive Occupations
869 Construction Laborers
873 Production Helpers
875 Garbage Collectors
876 Stevedores
877 Stock Handlers and Baggers
878 Machine Feeders and Offbearers
883 Freight, Stock, and Material Handlers, n.e.c.
885 Garage and Service Station Related Occupations
887 Vehicle Washers and Equipment Cleaners
888 Hand Packers and Packagers
889 Laborers, Except Construction
998 DK
999 NA
76
MAPRES80 Label: Mothers occupational prestige score (1980)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
77
MAWRKSLF Label: Mother self-emp. or worked for somebody
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
78
MAIND80 Label: Mothers industry code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
10 Agricultural production, crops
11 Agricultural production, livestock
20 Agricultural services, except horticultural
21 Horticultural services
30 Forestry
31 Fishing, hunting, and trapping, etc.
40 Metal mining
41 Coal mining
42 Crude petroleum and natural gas extraction
50 Nonmetallic mining and quarrying, except fuel
60 CONSTRUCTION
100 Meat products
101 Dairy products
102 Canned and preserved fruits and vegetables
110 Grain mill products
111 Bakery products
112 Sugar and confectionery products
120 Beverage industries
121 Miscellaneous food preparations and kindred products
122 Not specified food industries
130 Tobacco manufactures
132 Knitting mills
140 Dyeing and finishing textiles, except wool and knit goods
141 Floor coverings, except hard surface
142 Yarn, thread, and fabric mills
150 Miscellaneous textile mill products
151 Apparel and accessories, except knit
152 Miscellaneous fabricated textile products
160 Pulp, paper, and paperboard mills
161 Miscellaneous paper and pulp products
162 Paperboard containers and boxes
171 Newspaper publishing and printing
172 Printing, publishing, and allied industries, except newspapers
180 Plastics, synthetics, and resins
181 Drugs
182 Soaps and cosmetics
185 Paints, varnishes, and related products
190 Agricultural chemicals
191 Industrial and miscellaneous chemicals
192 Petroleum and coal products
200 Petroleum refining
201 Miscellaneous petroleum and coal products
210 Tires and inner tubes
211 Other rubber products, and plastics footwear and belting
212 Miscellaneous plastics products
220 Leather tanning and finishing
221 Footwear, except rubber and plastic
222 Leather products, except footwear
230 Logging
231 Sawmills, planning mills, and millwork
232 Wood buildings and mobile homes
241 Miscellaneous wood products
242 Furniture and fixtures
250 Glass and glass products
251 Cement, concrete, gypsum, and plaster products
252 Structural clay products
261 Pottery and related products
262 Miscellaneous nonmetallic mineral and stone products
270 Blast furnaces, steelworks, rolling and finishing mills
271 Iron and steel foundries
272 Primary aluminum industries
280 Other primary metal industries
281 Cutlery, hand tools, and other hardware
282 Fabricated structural metal products
290 Screw machine products
291 Metal forgings and stampings
292 Ordnance
300 Miscellaneous fabricated metal products
301 Not specified metal industries
310 Engines and turbines
311 Farm machinery and equipment
312 Construction and material handling machines
320 Metalworking machinery
321 Office and accounting machines
322 Electronic computing equipment
331 Machinery, except electrical, n.e.c.
332 Not specified machinery
340 Household appliances
341 Radio, TV, and communication equipment
342 Electrical machinery, equipment, and supplies, n.e.c.
350 Not specified electrical machinery, equipment, and supplies
351 Motor vehicles and motor vehicle equipment
352 Aircraft and parts
360 Ship and boat building and repairing
361 Railroad locomotives and equipment
362 Guided missiles, space vehicles, and parts
370 Cycles and miscellaneous transportation equipment
371 Scientific and controlling instruments
372 Optical and health services supplies
380 Photographic equipment and supplies
381 Watches, clocks, and clockwork operated devices
382 Not specified professional equipment
390 Toys, amusement, and sporting goods
391 Miscellaneous manufacturing industries
392 Not specified manufacturing industries
400 Railroads
401 Bus service and urban transit
402 Taxicab service
410 Trucking service
411 Warehousing and storage
412 U.S. Postal Service
420 Water transportation
421 Air transportation
422 Pipe lines, except natural gas
432 Services incidental to transportation
440 Radio and television broadcasting
441 Telephone (wire and radio)
442 Telegraph and miscellaneous communication service
460 Electric light and power
461 Gas and steam supply systems
462 Electric and gas, and other combinations
470 Water supply and irrigation
471 Sanitary services
472 Not specified utilities
500 Motor vehicles and equipment
501 Furniture and home furnishings
502 Lumber and construction materials
510 Sporting goods, toys, and hobby goods
511 Metals and minerals, except petroleum
512 Electrical goods
521 Hardware, plumbing and heating supplies
522 Not specified electrical and hardware products
530 Machinery, equipment, and supplies
531 Scrap and waste materials
532 Miscellaneous wholesale, durable goods
540 Paper and paper products
541 Drugs, chemicals, and allied products
542 Apparel, fabrics, and notions
550 Groceries and related products
551 Farm products-raw materials
552 Petroleum products
560 Alcoholic beverages
561 Farm supplies
562 Miscellaneous wholesale, nondurable goods
571 Not specified wholesale trade
580 Lumber and building material retailing
581 Hardware stores
582 Retail nurseries and garden stores
590 Mobile home dealers
591 Department stores
592 Variety stores
600 Miscellaneous general merchandise stores
601 Grocery stores
602 Dairy products stores
610 Retail bakeries
611 Food stores, n.e.c.
612 Motor vehicle dealers
620 Auto and home supply stores
621 Gasoline service stations
622 Miscellaneous vehicle dealers
630 Apparel and accessory stores, except shoe
631 Shoe stores
632 Furniture and home furnishings stores
640 Household appliances, TV, and radio stores
641 Eating and drinking places
642 Drug stores
650 Liquor stores
651 Sporting goods, bicycles, and hobby stores
652 Book and stationery stores
660 Jewelry stores
661 Sewing, needlework, and piece goods stores
662 Mail order houses
670 Vending machine operators
671 Direct selling establishments
672 Fuel and ice dealers
681 Retail florists
682 Miscellaneous retail stores
691 Not specified retail trade
700 Banking
701 Savings and loan associations
702 Credit agencies, n.e.c.
710 Security, commodity brokerage, and investment companies
711 Insurance
712 Real estate, including real estate-insurance-law offices
721 Advertising
722 Services to dwellings and other buildings
730 Commercial research, development, and testing labs
731 Personnel supply services
732 Business management and consulting services
740 Computer and data processing services
741 Detective and protective services
742 Business services, n.e.c.
750 Automotive services, except repair
751 Automotive repair shops
752 Electrical repair shops
760 Miscellaneous repair services
761 Private households
762 Hotels and motels
770 Lodging places, except hotels and motels
771 Laundry, cleaning, and garment services
772 Beauty shops
780 Barber shops
781 Funeral service and crematories
782 Shoe repair shops
790 Dressmaking shops
791 Miscellaneous personal services
800 Theaters and motion pictures
801 Bowling alleys, billiard and pool parlors
802 Miscellaneous entertainment and recreation services
812 Offices of physicians
820 Offices of dentists
821 Offices of chiropractors
822 Offices of optometrists
830 Offices of health practitioners, n.e.c.
831 Hospitals
832 Nursing and personal care facilities
840 Health services, n.e.c.
841 Legal services
842 Elementary and secondary schools
850 Colleges and universities
851 Business, trade, and vocational schools
852 Libraries
860 Educational services, n.e.c.
861 Job training and vocational rehabilitation services
862 Child day care services
870 Residential care facilities, without nursing
871 Social services, n.e.c.
872 Museums, art galleries and zoos
880 Religious organizations
881 Membership organizations
882 Engineering, architectural, and surveying services
890 Accounting, auditing, and bookkeeping services
891 Noncommercial educational and scientific research
892 Miscellaneous professional and related services
900 Executive and legislative offices
901 General government, n.e.c.
910 Justice, public order, and safety
921 Public finance, taxation, and monetary policy
922 Administration of human resources programs
930 Administration of environmental quality and household programs
931 Administration of economic programs
932 National security and international affairs
998 DK
999 NA
79
MAOCC10 Label: Mothers census occupation code (2010)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers—extraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers—installation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers—production workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
80
MAOCCINDV Label: Mothers occ/ind verbatim retrieved
Format: F8.0
Measure: Scale
Display Width: 11
Missing Values: -1
Value Label
-1 IAP
0 No verbatims for ma
1 Verbatims for ma
81
MAOCCSTATUS Label: MAOCC10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
82
MAOCCTAG Label: MAOCC10 coding tag
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
83
MAPRES10 Label: Mothers occupational prestige score (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
84
MAPRES105PLUS Label: Mothers occupational prestige score using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 15
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
85
MAIND10 Label: Mothers industry code (NAICS 2007)
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 Not applicable
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9999 No answer
86
MAINDSTATUS Label: MAIND10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
87
MAINDTAG Label: MAIND10 coding tag
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
88
SIBS Label: Number of brothers and sisters
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
89
CHILDS Label: Number of children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 9
Value Label
8 EIGHT OR MORE
9 DK NA
90
AGE Label: Age of respondent
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
89 89 OR OLDER
98 DK
99 NA
91
AGEKDBRN Label: R's age when 1st child born
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
92
EDUC Label: Highest year of school completed
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 97; 98; 99
Value Label
97 IAP
98 DK
99 NA
93
PAEDUC Label: Highest year school completed, father
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 97; 98; 99
Value Label
97 IAP
98 DK
99 NA
94
MAEDUC Label: Highest year school completed, mother
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 97; 98; 99
Value Label
97 IAP
98 DK
99 NA
95
SPEDUC Label: Highest year school completed, spouse
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 97; 98; 99
Value Label
97 IAP
98 DK
99 NA
96
COEDUC Label: Highest year school completed, partner
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 97; 98; 99
Value Label
97 IAP
98 Don't Know
99 NA
97
CODEG Label: Partner's highest degree
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 7; 8; 9
Value Label
0 LT HIGH SCHOOL
1 HIGH SCHOOL
2 JUNIOR COLLEGE
3 BACHELOR
4 GRADUATE
7 IAP
8 Don't Know
9 NA
98
DEGREE Label: R's highest degree
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7; 8; 9
Value Label
0 LT HIGH SCHOOL
1 HIGH SCHOOL
2 JUNIOR COLLEGE
3 BACHELOR
4 GRADUATE
7 IAP
8 DK
9 NA
99
PADEG Label: Father's highest degree
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7; 8; 9
Value Label
0 LT HIGH SCHOOL
1 HIGH SCHOOL
2 JUNIOR COLLEGE
3 BACHELOR
4 GRADUATE
7 IAP
8 DK
9 NA
100
MADEG Label: Mothers highest degree
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7; 8; 9
Value Label
0 LT HIGH SCHOOL
1 HIGH SCHOOL
2 JUNIOR COLLEGE
3 BACHELOR
4 GRADUATE
7 IAP
8 DK
9 NA
101
SPDEG Label: Spouse's highest degree
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7; 8; 9
Value Label
0 LT HIGH SCHOOL
1 HIGH SCHOOL
2 JUNIOR COLLEGE
3 BACHELOR
4 GRADUATE
7 IAP
8 DK
9 NA
102
MAJOR1 Label: College major 1
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ACCOUNTING/BOOKKEEPING
2 ADVERTISING
3 AGRICULTURE/HORTICULTURE
4 ALLIED HEALTH
5 ANTHROPOLGY
6 ARCHITECTURE
7 ART
8 BIOLOGY
9 BUSINESS ADMINISTRATION
11 CHEMISTRY
12 COMMUNICATIONS/SPEECH
13 COMM. DISORDERS
14 COMPUTER SCIENCE
15 DENTISTRY
16 EDUCATION
17 ECONOMICS
18 ENGINEERING
19 ENGLISH
20 FINANCE
21 FOREIGN LANGUAGE
22 FORESTRY
23 GEOGRAPHY
24 GEOLOGY
25 HISTORY
26 HOME ECONOMICS
27 INDUSTRY & TECHN
28 JOURNALISM
29 LAW
30 LAW ENFORCEMENT
31 LIBRARY SCIENCE
32 MARKETING
33 MATHMATICS
34 MEDICINE
35 MUSIC
36 NURSING
37 OPTOMETRY
38 PHARMACY
39 PHILOSOPHY
40 PHYSICAL EDUCATION
41 PHYSICS
42 PSYCHOLOGY
43 POLITICAL SCIENCE/INTERNATIONAL RELATIONS
44 SOCIOLOGY
45 SPECIAL EDUCATION
46 THEATER ARTS
47 THEOLOGY
48 VETERINARY MEDICINE
49 LIBERAL ARTS
50 OTHER
51 GENERAL SCIENCES
52 SOCIAL WORK
53 GENERAL STUDIES
54 OTHER VOCATIONAL
55 HEALTH
56 Industrial Relations
57 Child/Human/Family Development
58 Food Science/Nutrition/Culinary Arts
59 Environmental Science/Ecology
60 Social Sciences
61 Human Services/Human Resources
62 Visual Arts/Graphic Design/Design and Drafting
63 Fine Arts
64 Humanities
65 Ethnic studies
66 Educational administration
67 Television/Film
68 Aviation/Aeronatics
69 Statistics/Biostatistics
70 Criminology/Criminal Justice
71 Administrative Science/Public Administration
72 Electronics
73 Urban and Regional Planning
74 Mechanics/Machine Trade
75 Dance
76 Gerontology
77 Public Relations
78 Textiles/Cloth
79 Parks and Recreation
80 Information technology
81 Fashion
82 Counseling
98 DK/UNCODED
99 No answer
103
MAJOR2 Label: College major 2
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ACCOUNTING/BOOKKEEPING
2 ADVERTISING
3 AGRICULTURE/HORTICULTURE
4 ALLIED HEALTH
5 ANTHROPOLGY
6 ARCHITECTURE
7 ART
8 BIOLOGY
9 BUSINESS ADMINISTRATION
11 CHEMISTRY
12 COMMUNICATIONS/SPEECH
13 COMM. DISORDERS
14 COMPUTER SCIENCE
15 DENTISTRY
16 EDUCATION
17 ECONOMICS
18 ENGINEERING
19 ENGLISH
20 FINANCE
21 FOREIGN LANGUAGE
22 FORESTRY
23 GEOGRAPHY
24 GEOLOGY
25 HISTORY
26 HOME ECONOMICS
27 INDUSTRY & TECHN
28 JOURNALISM
29 LAW
30 LAW ENFORCEMENT
31 LIBRARY SCIENCE
32 MARKETING
33 MATHMATICS
34 MEDICINE
35 MUSIC
36 NURSING
37 OPTOMETRY
38 PHARMACY
39 PHILOSOPHY
40 PHYSICAL EDUCATION
41 PHYSICS
42 PSYCHOLOGY
43 POLITICAL SCIENCE/INTERNATIONAL RELATIONS
44 SOCIOLOGY
45 SPECIAL EDUCATION
46 THEATER ARTS
47 THEOLOGY
48 VETERINARY MEDICINE
49 LIBERAL ARTS
50 OTHER
51 GENERAL SCIENCES
52 SOCIAL WORK
53 GENERAL STUDIES
54 OTHER VOCATIONAL
55 HEALTH
56 Industrial Relations
57 Child/Human/Family Development
58 Food Science/Nutrition/Culinary Arts
59 Environmental Science/Ecology
60 Social Sciences
61 Human Services/Human Resources
62 Visual Arts/Graphic Design/Design and Drafting
63 Fine Arts
64 Humanities
65 Ethnic studies
66 Educational administration
67 Television/Film
68 Aviation/Aeronatics
69 Statistics/Biostatistics
70 Criminology/Criminal Justice
71 Administrative Science/Public Administration
72 Electronics
73 Urban and Regional Planning
74 Mechanics/Machine Trade
75 Dance
76 Gerontology
77 Public Relations
78 Textiles/Cloth
79 Parks and Recreation
80 Information technology
81 Fashion
82 Counseling
98 DK/UNCODED
99 No answer
104
DIPGED Label: Diploma, ged, or other
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 High School diploma
2 GED
3 Other
5 HS diploma after post HS classes
8 DON'T KNOW
9 No answer
105
SPDIPGED Label: Spouse diploma, ged, or other
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 High School diploma
2 GED
3 Other
8 DON'T KNOW
9 No answer
106
CODIPGED Label: Partner diploma, ged, or other
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 High School diploma
2 GED
3 Other
8 DON'T KNOW
9 No answer
107
COSECTOR Label: Type of college partneR attended
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 99
Value Label
-1 IAP
0 Administrative Unit
1 Public, 4-year or above
2 Private not-for-profit, 4-year or above
3 Private for-profit, 4-year or above
4 Public, 2-year
5 Private not-for-profit, 2-year or less
6 Private for-profit, 2-year
7 Public, less-than 2-year
9 Private for-profit, less-than 2-year
99 Sector unknown (not active)
108
WHENHS Label: When received hs degree
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
109
WHENCOL Label: When received college degree
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
110
SECTOR Label: Type of college respondent attended
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99
Value Label
-1 IAP
0 Administrative Unit
1 Public, 4-year or above
2 Private not-for-profit, 4-year or above
3 Private for-profit, 4-year or above
4 Public, 2-year
5 Private not-for-profit, 2-year or less
6 Private for-profit, 2-year
7 Public, less-than 2-year
9 Private for-profit, less-than 2-year
99 Sector unknown (not active)
111
EFTOTLT Label: Total number of students enrolled in college respondent attended
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1; 9
Value Label
-1 IAP
1 0-467 students
2 468+ students
9 NA
112
BARATE Label: Rate of BA degree earning in college respondent attended
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1; 9
Value Label
-1 IAP
1 0-39.9%
2 40-57.9%
3 58% or over
9 NA
113
GRADTOUNDER Label: Ratio of graduate students to undergraduate students in college respondent attended
Format: F8.0
Measure: Nominal
Display Width: 14
Missing Values: -1; 9
Value Label
-1 IAP
1 0-.210 graduate student per undergraduate student
2 .211 or over
114
VOEDCOL Label: Non-college postsecondary education (VOEDNME1)
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
115
VOEDNME1 Label: Postsecondary institution attended for credit
Format: F8.0
Measure: Scale
Display Width: 12
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Jail/Prison
2 High School
3 Company/Business
4 Vocational School/Trades/technical (not High School not College)
5 Secretarial School
6 Adult Education/School
7 Medical/Nursing/Health/Dental/Hospital
8 Union
9 Armed Forces
10 College/University
11 Art/Design
12 Business College (not Business School at a university)
13 Home Study/Correspondence
14 Job Corp
15 Beauty School/Cosmetology
16 Insurance, Real Estate, Finance, Executive Management
17 Police/Fire Academy; Training
18 Development Center
19 Career Center
20 Foreign College/University
30 Other
40 Unable to code response, unclear, not identifiable
98 Unknown, uncodeable
99 No answer
116
VOEDNCOL Label: Non-college postsecondary education (VOEDNME2)
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
117
VOEDNME2 Label: Postsecondary institution attended for credit
Format: F8.0
Measure: Scale
Display Width: 12
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Jail/Prison
2 High School
3 Company/Business
4 Vocational School/Trades/technical (not High School not College)
5 Secretarial School
6 Adult Education/School
7 Medical/Nursing/Health/Dental/Hospital
8 Union
9 Armed Forces
10 College/University
11 Art/Design
12 Business College (not Business School at a university)
13 Home Study/Correspondence
14 Job Corp
15 Beauty School/Cosmetology
16 Insurance, Real Estate, Finance, Executive Management
17 Police/Fire Academy; Training
18 Development Center
19 Career Center
20 Foreign College/University
30 Other
40 Unable to code response, unclear, not identifiable
98 Unknown, uncodeable
99 No answer
118
SPSECTOR Label: Type of college spouse attended
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99
Value Label
-1 IAP
0 Administrative Unit
1 Public, 4-year or above
2 Private not-for-profit, 4-year or above
3 Private for-profit, 4-year or above
4 Public, 2-year
5 Private not-for-profit, 2-year or less
6 Private for-profit, 2-year
7 Public, less-than 2-year
9 Private for-profit, less-than 2-year
99 Sector unknown (not active)
119
SPEFTOTLT Label: Total number of students enrolled in college spouse attended
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1; 9
Value Label
-1 IAP
1 0-467 students
2 468+ students
9 NA
120
SPBARATE Label: Rate of BA degree earning in college spouse attended
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1; 9
Value Label
-1 IAP
1 0-39.9%
2 40-57.9%
3 58% or over
9 NA
121
SPGRADTOUNDER Label: Ratio of graduate students to undergraduate students in college spouse attended
Format: F8.0
Measure: Nominal
Display Width: 14
Missing Values: -1; 9
Value Label
-1 IAP
1 0-.210 graduate student per undergraduate student
2 .211 or over
122
COBARATE Label: Rate of BA degree earning at college partneR attended
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 9
Value Label
-1 IAP
1 0-39.9%
2 40-57.9%
3 58% or over
9 No answer
123
COGRADTOUNDER Label: Ratio of graduate to undergraduate students at college partneR attended
Format: F8.0
Measure: Nominal
Display Width: 15
Missing Values: -1; 9
Value Label
-1 IAP
1 0-.210 graduate student per undergraduate student
2 .211 or over
9 No answer
124
COEFTOTLT Label: Total number of students enrolled at college partneR attended
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1; 9
Value Label
-1 IAP
1 0-467 students enrolled
2 468 or more students
9 No answer
125
SEX Label: Respondents sex
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
1 MALE
2 FEMALE
126
RACE Label: Race of respondent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 WHITE
2 BLACK
3 OTHER
127
RES16 Label: Type of place lived in when 16 yrs old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COUNTRY,NONFARM
2 FARM
3 TOWN LT 50000
4 50000 TO 250000
5 BIG-CITY SUBURB
6 CITY GT 250000
8 DK
9 NA
128
REG16 Label: Region of residence, age 16
Format: F1.0
Measure: Nominal
Display Width: 8
Value Label
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
129
MOBILE16 Label: Geographic mobility since age 16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SAME CITY
2 SAME ST,DIF CITY
3 DIFFERENT STATE
8 DK
9 NA
130
FAMILY16 Label: Living with parents when 16 yrs old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 OTHER
1 MOTHER & FATHER
2 FATHER & STPMOTHER
3 MOTHER & STPFATHER
4 FATHER
5 MOTHER
6 MALE RELATIVE
7 FEMALE RELATIVE
8 M AND F RELATIVES
9 NA
131
FAMDIF16 Label: Reason not living with parents
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PARENT DIED
2 DIVORCE,SEPARATED
3 ARMED FORCES
4 INSTITUTION
5 OTHER
8 DK
9 NA
132
MAWORK Label: Mothers employment since marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
133
MAWKBABY Label: Mothers employment before first grade
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
134
MAWKBORN Label: Mothers employment after R was born
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
135
MAWK16 Label: Mothers employment when R growing up
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
136
MAWRKGRW Label: Mothers employment when R was 16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
137
INCOM16 Label: R's family income when 16 yrs old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU HIGHEST; -1
Value Label
-1 IAP
1 FAR BELOW AVERAGE
2 BELOW AVERAGE
3 AVERAGE
4 ABOVE AVERAGE
5 FAR ABOVE AVERAGE
7 LIVED IN INSTITUTION
8 DK
9 NA
138
BORN Label: Was R born in this country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
139
PARBORN Label: Were R's parents born in this country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 BOTH IN U.S
1 MOTHER ONLY
2 FATHER ONLY
3 MOTHER; FA. DK
4 NOT MOTHER;FA.DK
5 FATHER; MO.DK
6 NOT FATHER;MO.DK
7 DK FOR BOTH
8 NEITHER IN U.S
9 NA
140
GRANBORN Label: How many grandparents born outside U.S.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 ALL IN U.S
8 DK
9 NA
141
HOMPOP Label: Number of persons in household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
98 DK
99 NA
142
BABIES Label: Household members less than 6 yrs old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 9
Value Label
8 8 OR MORE
9 NA
143
PRETEEN Label: Household members 6 thru 12 yrs old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 9
Value Label
8 8 OR MORE
9 NA
144
TEENS Label: Household members 13 thru 17 yrs old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 9
Value Label
8 8 OR MORE
9 NA
145
ADULTS Label: Household members 18 yrs and older
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 9
Value Label
8 8 OR MORE
9 NA
146
UNRELAT Label: Number in household not related
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
8 8 OR MORE
9 NA
147
EARNRS Label: How many in family earned money
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 9
Value Label
8 EIGHT OR MORE
9 NA
148
INCOME Label: Total family income
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 13 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000 TO 2999
3 $3000 TO 3999
4 $4000 TO 4999
5 $5000 TO 5999
6 $6000 TO 6999
7 $7000 TO 7999
8 $8000 TO 9999
9 $10000 - 14999
10 $15000 - 19999
11 $20000 - 24999
12 $25000 OR MORE
13 REFUSED
98 DK
99 NA
149
RINCOME Label: Respondents income
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 13 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000 TO 2999
3 $3000 TO 3999
4 $4000 TO 4999
5 $5000 TO 5999
6 $6000 TO 6999
7 $7000 TO 7999
8 $8000 TO 9999
9 $10000 - 14999
10 $15000 - 19999
11 $20000 - 24999
12 $25000 OR MORE
13 REFUSED
98 DK
99 NA
150
INCOME72 Label: Total family income
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 13 THRU 99; 0
Value Label
0 IAP
1 LT $2000
2 $2000 TO $3999
3 $4000 TO $5999
4 $6000 TO $7999
5 $8000 TO $9999
6 $10000 TO $12499
7 $12500 TO $14999
8 $15000 TO $17499
9 $17500 TO $19999
10 $20000 TO $24999
11 $25000 TO $29999
12 $30000+
13 REFUSED
98 DK
99 NA
151
INCOME77 Label: Total family income
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 17 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-49999
16 $50000 +
17 REFUSED
98 DK
99 NA
152
RINCOM77 Label: Respondents income
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 17 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-49999
16 $50000 +
17 REFUSED
98 DK
99 NA
153
INCOME82 Label: Total family income
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 18 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-34999
16 $35000-49999
17 $50000 +
18 REFUSED
98 DK
99 NA
154
RINCOM82 Label: Respondents income
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 18 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-34999
16 $35000-49999
17 $50000 +
18 REFUSED
98 DK
99 NA
155
INCOME86 Label: Total family income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 21 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-29999
16 $30000-34999
17 $35000-39999
18 $40000-49999
19 $50000-59999
20 $60000+
21 REFUSED
98 DK
99 NA
156
RINCOM86 Label: Respondents income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 21 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-29999
16 $30000-34999
17 $35000-39999
18 $40000-49999
19 $50000-59999
20 $60000+
21 REFUSED
98 DK
99 NA
157
INCOME91 Label: Total family income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 22 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-29999
16 $30000-34999
17 $35000-39999
18 $40000-49999
19 $50000-59999
20 $60000-74999
21 $75000+
22 REFUSED
98 DK
99 NA
158
RINCOM91 Label: Respondents income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 22 THRU 99; 0
Value Label
0 IAP
1 LT $1000
2 $1000-2999
3 $3000-3999
4 $4000-4999
5 $5000-5999
6 $6000-6999
7 $7000-7999
8 $8000-9999
9 $10000-12499
10 $12500-14999
11 $15000-17499
12 $17500-19999
13 $20000-22499
14 $22500-24999
15 $25000-29999
16 $30000-34999
17 $35000-39999
18 $40000-49999
19 $50000-59999
20 $60000-74999
21 $75000+
22 REFUSED
98 DK
99 NA
159
INCOME98 Label: Total family income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 24 THRU 99; 0
Value Label
0 IAP
1 UNDER $1 000
2 $1 000 TO 2 999
3 $3 000 TO 3 999
4 $4 000 TO 4 999
5 $5 000 TO 5 999
6 $6 000 TO 6 999
7 $7 000 TO 7 999
8 $8 000 TO 9 999
9 $10000 TO 12499
10 $12500 TO 14999
11 $15000 TO 17499
12 $17500 TO 19999
13 $20000 TO 22499
14 $22500 TO 24999
15 $25000 TO 29999
16 $30000 TO 34999
17 $35000 TO 39999
18 $40000 TO 49999
19 $50000 TO 59999
20 $60000 TO 74999
21 $75000 TO $89999
22 $90000 - $109999
23 $110000 OR OVER
24 REFUSED
98 DK
99 NA
160
RINCOM98 Label: Respondents income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 24 THRU 99; 0
Value Label
0 IAP
1 UNDER $1 000
2 $1 000 TO 2 999
3 $3 000 TO 3 999
4 $4 000 TO 4 999
5 $5 000 TO 5 999
6 $6 000 TO 6 999
7 $7 000 TO 7 999
8 $8 000 TO 9 999
9 $10000 TO 12499
10 $12500 TO 14999
11 $15000 TO 17499
12 $17500 TO 19999
13 $20000 TO 22499
14 $22500 TO 24999
15 $25000 TO 29999
16 $30000 TO 34999
17 $35000 TO 39999
18 $40000 TO 49999
19 $50000 TO 59999
20 $60000 TO 74999
21 $75000 TO $89999
22 $90000 - $109999
23 $110000 OR OVER
24 REFUSED
98 DK
99 NA
161
INCOME06 Label: Total family income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 26 THRU 99; 0
Value Label
0 IAP
1 UNDER $1 000
2 $1 000 TO 2 999
3 $3 000 TO 3 999
4 $4 000 TO 4 999
5 $5 000 TO 5 999
6 $6 000 TO 6 999
7 $7 000 TO 7 999
8 $8 000 TO 9 999
9 $10000 TO 12499
10 $12500 TO 14999
11 $15000 TO 17499
12 $17500 TO 19999
13 $20000 TO 22499
14 $22500 TO 24999
15 $25000 TO 29999
16 $30000 TO 34999
17 $35000 TO 39999
18 $40000 TO 49999
19 $50000 TO 59999
20 $60000 TO 74999
21 $75000 TO $89999
22 $90000 TO $109999
23 $110000 TO $129999
24 $130000 TO $149999
25 $150000 OR OVER
26 REFUSED
98 DK
99 NA
162
RINCOM06 Label: Respondents income
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 26 THRU 99; 0
Value Label
0 IAP
1 UNDER $1 000
2 $1 000 TO 2 999
3 $3 000 TO 3 999
4 $4 000 TO 4 999
5 $5 000 TO 5 999
6 $6 000 TO 6 999
7 $7 000 TO 7 999
8 $8 000 TO 9 999
9 $10000 TO 12499
10 $12500 TO 14999
11 $15000 TO 17499
12 $17500 TO 19999
13 $20000 TO 22499
14 $22500 TO 24999
15 $25000 TO 29999
16 $30000 TO 34999
17 $35000 TO 39999
18 $40000 TO 49999
19 $50000 TO 59999
20 $60000 TO 74999
21 $75000 TO $89999
22 $90000 TO $109999
23 $110000 TO $129999
24 $130000 TO $149999
25 $150000 OR OVER
26 REFUSED
98 DK
99 NA
163
INCOME16 Label: Total family income
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 27 THRU 99; 0
Value Label
0 IAP
1 UNDER $1 000
2 $1 000 TO 2 999
3 $3 000 TO 3 999
4 $4 000 TO 4 999
5 $5 000 TO 5 999
6 $6 000 TO 6 999
7 $7 000 TO 7 999
8 $8 000 TO 9 999
9 $10000 TO 12499
10 $12500 TO 14999
11 $15000 TO 17499
12 $17500 TO 19999
13 $20000 TO 22499
14 $22500 TO 24999
15 $25000 TO 29999
16 $30000 TO 34999
17 $35000 TO 39999
18 $40000 TO 49999
19 $50000 TO 59999
20 $60000 TO 74999
21 $75000 TO $89999
22 $90000 TO $109999
23 $110000 TO $129999
24 $130000 TO $149999
25 $150000 TO $169999
26 $170000 OR OVER
27 REFUSED
98 DK
99 NA
164
RINCOM16 Label: Respondents income
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 27 THRU 99; 0
Value Label
0 IAP
1 UNDER $1 000
2 $1 000 TO 2 999
3 $3 000 TO 3 999
4 $4 000 TO 4 999
5 $5 000 TO 5 999
6 $6 000 TO 6 999
7 $7 000 TO 7 999
8 $8 000 TO 9 999
9 $10000 TO 12499
10 $12500 TO 14999
11 $15000 TO 17499
12 $17500 TO 19999
13 $20000 TO 22499
14 $22500 TO 24999
15 $25000 TO 29999
16 $30000 TO 34999
17 $35000 TO 39999
18 $40000 TO 49999
19 $50000 TO 59999
20 $60000 TO 74999
21 $75000 TO $89999
22 $90000 TO $109999
23 $110000 TO $129999
24 $130000 TO $149999
25 $150000 TO $169999
26 $170000 OR OVER
27 REFUSED
98 DK
99 NA
165
REGION Label: Region of interview
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 NOT ASSIGNED
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
166
XNORCSIZ Label: Expanded NORC size code
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 NOT ASSIGNED
1 CITY GT 250000
2 CITY,50-250000
3 SUBURB, LRG CITY
4 SUBURB, MED CITY
5 UNINC,LRG CITY
6 UNINC,MED CITY
7 CITY,10-49999
8 TOWN GT 2500
9 SMALLER AREAS
10 OPEN COUNTRY
167
SRCBELT Label: SRC beltcode
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 NOT ASSIGNED
1 12 LRGST SMSA'S
2 SMSA'S 13-100
3 SUBURB, 12 LRGST
4 SUBURB, 13-100
5 OTHER URBAN
6 OTHER RURAL
168
SIZE Label: Size of place in 1000s
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1 NOT ASSIGNED
169
DOTDATA Label: D.O.T. code - relation to data
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
170
DOTPEOP Label: D.O.T. code - relation to people
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
171
DOTTHNG Label: D.O.T. code - relation to things
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
172
DOTGED Label: D.O.T. code - general educ develop.
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
173
DOTSVP Label: D.O.T. code - specific vocat. prep
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
174
DOTPRES Label: TEMME prestige scale
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP
175
SPDOTDAT Label: SP. D.O.T. code - relation to data
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
176
SPDOTPEO Label: SP. D.O.T. code - relation to people
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
177
SPDOTTHN Label: SP. D.O.T. code - relation to things
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
178
SPDOTGED Label: SP. D.O.T. code - general educ develop.
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
179
SPDOTSVP Label: SP. D.O.T. code - specific vocat. prep
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
180
SPDOTPRE Label: SP. TEMME prestige scale
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP
181
PADOTDAT Label: FA. D.O.T. code - relation to data
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
182
PADOTPEO Label: FA. D.O.T. code - relation to people
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
183
PADOTTHN Label: FA. D.O.T. code - relation to things
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
184
PADOTGED Label: FA. D.O.T. code - general educ develop.
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
185
PADOTSVP Label: FA. D.O.T. code - specific vocat. prep
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
186
PADOTPRE Label: FA. TEMME prestige scale
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP
187
PARTYID Label: Political party affiliation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 8; 9
Value Label
0 STRONG DEMOCRAT
1 NOT STR DEMOCRAT
2 IND,NEAR DEM
3 INDEPENDENT
4 IND,NEAR REP
5 NOT STR REPUBLICAN
6 STRONG REPUBLICAN
7 OTHER PARTY
8 DK
9 NA
188
VOTE68 Label: Did R vote in 1968 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 NOT ELIGIBLE
4 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
189
PRES68 Label: Vote for Humphrey, Nixon, or Wallace
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HUMPHREY
2 NIXON
3 WALLACE
4 OTHER
5 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
190
IF68WHO Label: Who would R have voted for-1968 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HUMPHREY
2 NIXON
3 WALLACE
4 OTHER
5 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
191
VOTE72 Label: Did R vote in 1972 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 NOT ELIGIBLE
4 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
192
PRES72 Label: Vote for McGovern or Nixon
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MCGOVERN
2 NIXON
3 OTHER
4 REFUSED
5 WOULDNT VOTE
6 WLDNT VT-RELIG
8 DK
9 NA
193
IF72WHO Label: Who would R have voted for-1972 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MCGOVERN
2 NIXON
3 OTHER
4 REFUSED
5 WOULDNT VOTE
6 WLDNT VT-RELIG
8 DK
9 NA
194
VOTE76 Label: Did R vote in 1976 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 NOT ELIGIBLE
4 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
195
PRES76 Label: Vote for Carter or Ford
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CARTER
2 FORD
3 OTHER
4 REFUSED
5 NO PRES. VOTE
8 DK
9 NA
196
IF76WHO Label: Who would R have voted for-1976 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CARTER
2 FORD
3 OTHER
4 REFUSED
5 WOULDNT VOTE
8 DK
9 NA
197
VOTE80 Label: Did R vote in 1980 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 NOT ELIGIBLE
4 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
198
PRES80 Label: Vote for Carter, Reagan or Anderson
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CARTER
2 REAGAN
3 ANDERSON
4 OTHER
5 REFUSED
6 DIDNT VOTE
8 DK
9 NA
199
IF80WHO Label: Who would R have voted for-1980 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CARTER
2 REAGAN
3 ANDERSON
4 OTHER
5 WOULDNT VOTE
7 REFUSED
8 DK
9 NA
200
VOTE84 Label: Did R vote in 1984 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 NOT ELIGIBLE
4 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
201
PRES84 Label: Vote for Reagan or Mondale
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MONDALE
2 REAGAN
3 OTHER
4 REFUSED
5 NO PRES. VOTE
8 DK
9 NA
202
IF84WHO Label: Who would R have voted for-1984 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MONDALE
2 REAGAN
3 OTHER
4 WOULDNT VOTE
5 REFUSED
8 DK
9 NA
203
VOTE88 Label: Did R vote in 1988 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 NOT ELIGIBLE
4 REFUSED
6 WLDNT VT-RELIG
8 DK
9 NA
204
PRES88 Label: Vote for Dukakis or Bush
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DUKAKIS
2 BUSH
3 OTHER
4 REFUSED
5 NO PRES. VOTE
8 DK
9 NA
205
IF88WHO Label: Who would R have voted for-1988 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DUKAKIS
2 BUSH
3 OTHER
4 WOULDNT VOTE
5 REFUSED
8 DK
9 NA
206
VOTE92 Label: Did R vote in 1992 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 NOT ELIGIBLE
4 REFUSED
8 DK
9 NA
207
PRES92 Label: Vote for Clinton, Bush, Perot
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CLINTON
2 BUSH
3 PEROT
4 OTHER
6 NO PRES. VOTE
8 DK
9 NA
208
IF92WHO Label: Who would R have voted for-1992 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CLINTON
2 BUSH
3 PEROT
4 OTHER
5 WOULDNT VOTE
8 DK
9 NA
209
VOTE96 Label: Did R vote in 1996 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 INELIGIBLE
4 REFUSED TO ANSWR
8 DONT KNOW/REMMBR
9 NA
210
PRES96 Label: Vote for Clinton, Dole, Perot
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CLINTON
2 DOLE
3 PEROT
4 OTHER (SPECIFY)
6 DIDNT VOTE
8 DONT KNOW
9 NA
211
IF96WHO Label: Who would R have voted for-1996 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CLINTON
2 DOLE
3 PEROT
4 OTHER
8 DONT KNOW/RMEMBR
9 NA
212
VOTE00 Label: Did R vote in 2000 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 INELIGIBLE
4 REFUSED TO ANSWER
8 DONT KNOW/REMEMBER
9 NA
213
PRES00 Label: Vote for Gore, Bush, Nader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GORE
2 BUSH
3 NADER
4 OTHER (SPECIFY)
6 DIDNT VOTE
8 DONT KNOW
9 NA
214
IF00WHO Label: Who would R has voted for in 2000 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GORE
2 BUSH
3 NADER
4 OTHER
8 DONT KNOW/REMEMBER
9 NA
215
VOTE04 Label: Did R vote in 2004 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTED
2 DID NOT VOTE
3 INELIGIBLE
4 REFUSED TO ANSWER
8 DONT KNOW/REMEMBER
9 NA
216
PRES04 Label: Vote for Kerry, Bush, Nader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 KERRY
2 BUSH
3 NADER
4 OTHER (SPECIFY)
6 DIDNT VOTE
8 DONT KNOW
9 NA
217
IF04WHO Label: Who would R has voted for in 2004 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 KERRY
2 BUSH
3 NADER
4 OTHER
8 DONT KNOW/REMEMBER
9 NA
218
VOTE08 Label: Did R vote in 2008 election
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Voted
2 Did not vote
3 Ineligible
8 DON'T KNOW
9 No answer
219
PRES08 Label: Vote Obama or McCain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Obama
2 McCain
3 OTHER CANDIDATE (SPECIFY)
4 DIDN'T VOTE
8 DK
9 NA
220
IF08WHO Label: Who you would have voted for
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Obama
2 McCain
3 Other
8 DON'T KNOW
9 No answer
221
VOTE12 Label: Did R vote in 2012 election
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Voted
2 Did not vote
3 Ineligible
8 DK
9 NA
222
PRES12 Label: Vote Obama or Romney
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Obama
2 Romney
3 Other candidate (SPECIFY)
4 Didn't vote for president
8 Don't know
9 No answer
223
IF12WHO Label: Who would R have voted for in 2012 election
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Obama
2 Romney
3 Other
8 Don't know
9 No answer
224
POLVIEWS Label: Think of self as liberal or conservative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIBERAL
2 LIBERAL
3 SLIGHTLY LIBERAL
4 MODERATE
5 SLGHTLY CONSERVATIVE
6 CONSERVATIVE
7 EXTRMLY CONSERVATIVE
8 DK
9 NA
225
POLVIEWY Label: Liberal or conservative-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 8 THRU HIGHEST; -1
Value Label
-1 IAP
0 HAVENT THGHT ABT IT
1 EXTREMELY LIBERAL
2 LIBERAL
3 SLIGHTLY LIBERAL
4 MODERATE
5 SLGHTLY CONSERVATIVE
6 CONSERVATIVE
7 EXTRMLY CONSERVATIVE
8 DK
9 NA
226
POLVIEWX Label: Liberal or conservative-Version X
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LEFT
10 RIGHT
98 DK
99 NA
227
NATSPAC Label: Space exploration program
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
228
NATENVIR Label: Improving & protecting environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
229
NATHEAL Label: Improving & protecting nations health
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
230
NATCITY Label: Solving problems of big cities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
231
NATCRIME Label: Halting rising crime rate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
232
NATDRUG Label: Dealing with drug addiction
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
233
NATEDUC Label: Improving nations education system
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
234
NATRACE Label: Improving the conditions of blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
235
NATARMS Label: Military, armaments, and defense
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
236
NATAID Label: Foreign aid
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
237
NATFARE Label: Welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
238
NATROAD Label: Highways and bridges
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
239
NATSOC Label: Social security
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
240
NATMASS Label: Mass transportation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
241
NATPARK Label: Parks and recreation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
242
NATCHLD Label: Assistance for childcare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
243
NATSCI Label: Supporting scientific research
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
244
NATENRGY Label: Developing alternative energy sources
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Too little
2 About right
3 Too much
8 DON'T KNOW
9 No answer
245
NATSPACY Label: Space exploration:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
246
NATENVIY Label: The environment:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
247
NATHEALY Label: Health:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
248
NATCITYY Label: Assistance to big cities:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
249
NATCRIMY Label: Law enforcement:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
250
NATDRUGY Label: Drug rehabilitation:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
251
NATEDUCY Label: Education:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
252
NATRACEY Label: Assistance to blacks:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
253
NATARMSY Label: National defense:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
254
NATAIDY Label: Assistance to other countries:Ver Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
255
NATFAREY Label: Assistance to the poor:Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
256
NATSPACZ Label: Space exploration:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
257
NATENVIZ Label: Improving the environment:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
258
NATHEALZ Label: Improving health:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
259
NATCITYZ Label: Solving problems of big cities:Ver Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
260
NATCRIMZ Label: Reducing crime:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
261
NATDRUGZ Label: Reducing drug addiction:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
262
NATEDUCZ Label: Improving the education system:Ver Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
263
NATRACEZ Label: Improving conditions of blacks:Ver Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
264
NATARMSZ Label: Strengthening national defense:Ver Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
265
NATAIDZ Label: Helping other countries:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
266
NATFAREZ Label: Caring for the poor:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
267
NATROADZ Label: Improving highways and bridges:Ver Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
268
NATSOCZ Label: Protecting social security:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
269
NATMASSZ Label: Improving mass transit:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
270
NATPARKZ Label: Improving parks and recreation:Ver Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DK
9 NA
271
EQUAL1 Label: Everyone should look out for self
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
272
EQUAL2 Label: Business profits benefit all
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
273
EQUAL3 Label: Govt shld insure jobs and stable prices
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
274
EQUAL4 Label: Responsibility of govt to meet needs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
275
EQUAL5 Label: Social welfare benefits are disincentive
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
276
EQUAL6 Label: One is able to live well in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
277
EQUAL7 Label: Business profits are distributed fairly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
278
EQUAL8 Label: Social standing due to ability
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
279
USCLASS1 Label: Traditional class divisions still remain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
280
USCLASS2 Label: Achievement depends on family background
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
281
USCLASS3 Label: Achievement depends on educ and ability
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
282
USCLASS4 Label: Ones own efforts don't count
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
283
USCLASS5 Label: Personal income not determined by work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
284
USCLASS6 Label: Differences in class are an incentive
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
285
USCLASS7 Label: Differences in class reflect own effort
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
286
USCLASS8 Label: Social differences are acceptable
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 SOMEWHAT AGREE
3 SOMEWHT DISAGREE
4 STRNGLY DISAGREE
8 NO OPINION
9 NA
287
EDUCOP Label: Equal opportunity to obtain education?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
288
GOVCARE Label: Govt concern for social welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH CARE
2 ON RIGHT TRACK
8 DK
9 NA
289
EQWLTH Label: Should govt reduce income differences
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT REDUCE DIFF
7 NO GOVT ACTION
8 DK
9 NA
290
EQWLTHY Label: Govt reduce income differences-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT REDUCE DIFF
7 NO GOVT ACTION
8 DK
9 NA
291
TAX Label: R's federal income tax
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO HIGH
2 ABOUT RIGHT
3 TOO LOW
4 R PAYS NONE<VOL.>
8 DK
9 NA
292
SPKATH Label: Allow anti-religionist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOWED
2 NOT ALLOWED
8 DK
9 NA
293
COLATH Label: Allow anti-religionist to teach
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
4 ALLOWED
5 NOT ALLOWED
8 DK
9 NA
294
LIBATH Label: Allow anti-religious book in library
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REMOVE
2 NOT REMOVE
8 DK
9 NA
295
SPKSOC Label: Allow socialist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOWED
2 NOT ALLOWED
8 DK
9 NA
296
COLSOC Label: Allow socialist to teach
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
4 ALLOWED
5 NOT ALLOWED
8 DK
9 NA
297
LIBSOC Label: Allow socialists book in library
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REMOVE
2 NOT REMOVE
8 DK
9 NA
298
SPKRAC Label: Allow racist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOWED
2 NOT ALLOWED
8 DK
9 NA
299
COLRAC Label: Allow racist to teach
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
4 ALLOWED
5 NOT ALLOWED
8 DK
9 NA
300
LIBRAC Label: Allow racists book in library
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REMOVE
2 NOT REMOVE
8 DK
9 NA
301
SPKCOM Label: Allow communist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOWED
2 NOT ALLOWED
8 DK
9 NA
302
COLCOM Label: Should communist teacher be fired
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
4 FIRED
5 NOT FIRED
8 DK
9 NA
303
LIBCOM Label: Allow communists book in library
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REMOVE
2 NOT REMOVE
8 DK
9 NA
304
SPKMIL Label: Allow militarist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOWED
2 NOT ALLOWED
8 DK
9 NA
305
COLMIL Label: Allow militarist to teach
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
4 ALLOWED
5 NOT ALLOWED
8 DK
9 NA
306
LIBMIL Label: Allow militarists book in library
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REMOVE
2 NOT REMOVE
8 DK
9 NA
307
SPKHOMO Label: Allow homosexual to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOWED
2 NOT ALLOWED
8 DK
9 NA
308
COLHOMO Label: Allow homosexual to teach
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
4 ALLOWED
5 NOT ALLOWED
8 DK
9 NA
309
LIBHOMO Label: Allow homosexuals book in library
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REMOVE
2 NOT REMOVE
8 DK
9 NA
310
SPKMSLM Label: Allow muslim clergymen preaching hatred of the us
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, allowed
2 Not allowed
8 DONT KNOW
9 NA
311
COLMSLM Label: Allow anti-American muslim clergymen teaching in college
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
4 Yes, allowed
5 Not allowed
8 DONT KNOW
9 NA
312
LIBMSLM Label: Allow anti-American muslim clergymen's books in library
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Remove
2 Not remove
8 DK
9 NA
313
CAPPUN2 Label: Does R favor capital punishment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES,FAVOR
2 NO,DONT FAVOR
8 DK
9 NA
314
CAPPUN Label: Favor or oppose death penalty for murder
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
8 DK
9 NA
315
CAPIMP Label: Importance of death penalty issue to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMPORTANT
8 DK
9 NA
316
CAPINFO Label: How much info R has on death penalty
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST OF THE INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
317
CAPFIRM Label: How firm Is R's opinion of death penalty
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
318
GUNLAW Label: Favor or oppose gun permits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
8 DK
9 NA
319
GUNIMP Label: Importance of gun control issue to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMPORTANT
8 DK
9 NA
320
GUNINFO Label: How much info Does R have on gun control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST OF THE INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
321
GUNFIRM Label: How firm Is R's opinion on gun control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
322
COURTS Label: Courts dealing with criminals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO HARSH
2 NOT HARSH ENOUGH
3 ABOUT RIGHT
8 DK
9 NA
323
COURTSY Label: Courts dealing with criminals-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO HARSH
2 NOT HARSH ENOUGH
3 ABOUT RIGHT
8 CANT SAY
9 NA
324
CRIMIMP Label: Importance of crime issue to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMPORTANT
8 DK
9 NA
325
CRIMINFO Label: How much info Does R have on crime issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST OF THE INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
326
CRIMFIRM Label: How firm Is R's opinion on crime issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
327
LAWIMP Label: Importance of law enforcement issue to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMPORTANT
8 DK
9 NA
328
LAWINFO Label: How much info Does R have on law issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST OF THE INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
329
LAWFIRM Label: How firm Is R's opinion on law issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
330
WIRTAP Label: Wiretapping
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 APPROVE
2 DISAPPROVE
8 DK
9 NA
331
GRASS Label: Should marijuana be made legal
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LEGAL
2 NOT LEGAL
8 DK
9 NA
332
GRASSY Label: Should marijuana be legal-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LEGAL
2 NOT LEGAL
8 DK
9 NA
333
RELIG Label: R's religious preference
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
6 BUDDHISM
7 HINDUISM
8 OTHER EASTERN
9 MOSLEM/ISLAM
10 ORTHODOX-CHRISTIAN
11 CHRISTIAN
12 NATIVE AMERICAN
13 INTER-NONDENOMINATIONAL
98 DK
99 NA
334
DENOM Label: Specific denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTH
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN US
42 OTHER PRESBYTERIAN
43 PRESBYTERIAN, MERGED
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
335
OTHER Label: Other protestant denominations
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 Hungarian Reformed
2 Evangelical Congregational
3 Ind Bible, Bible, Bible Fellowship
5 Church of Prophecy
6 New Testament Christian
7 Church of God, Saint & Christ
8 Moravian
9 Christian & Missionary Alliance
10 Advent Christian
11 Spiritualist
12 Assembly of God
13 Free Methodist
14 Apostolic Faith
15 African Methodist
16 Free Will Baptist
17 Eden Evangelist
18 Holiness (Nazarene)
19 Baptist (Northern)
20 Brethren Church, Brethren
21 Witness Holiness
22 Brethren, Plymouth
23 United Brethren, United Brethren in Christ
24 Independent
25 Christian Disciples
26 Christ in Christian Union
27 Open Bible
28 Christian Catholic
29 Christ Church Unity
30 Christ Adelphians
31 Christian; Central Christian
32 Christian Reform
33 Christian Scientist
34 Church of Christ, Evangelical
35 Church of Christ
36 Churches of God(Except with Christ and Holiness)
37 Church of God in Christ
38 Church of God in Christ Holiness
39 Church of the Living God
40 Congregationalist, 1st Congreg
41 Community Church
42 Covenant
43 Dutch Reform
44 Disciples of Christ
45 Evangelical, Evangelist
46 Evangelical Reformed
47 Evangelist Free Church
48 First Church
49 First Christian Disciples of Christ
50 First Reformed
51 First Christian
52 Full Gospel
53 Four Square Gospel
54 Friends
55 Holy Roller
56 Holiness; Church of Holiness
57 Pilgrim Holiness
58 Jehovah's Witnesses
59 LDS
60 LDS--Mormon
61 LDS--Reorganized
62 LDS--Jesus Christ; Church of Jesus LDS
63 Mennonite
64 Mormon
65 Nazarene
66 Pentecostal Assembly of God
67 Pentecostal Church of God
68 Pentecostal
69 Pentecostal Holiness, Holiness Pentecostal
70 Quaker
71 Reformed
72 Reformed United Church of Christ
73 Reformed Church of Christ
74 Religious Science
75 Mind Science
76 Salvation Army
77 7th Day Adventist
78 Sanctified, Sanctification
79 United Holiness
80 Unitarian, Universalist
81 United Church of Christ
82 United Church, Unity Church
83 Wesleyan
84 Wesleyan Methodist--Pilgrim
85 Zion Union
86 Zion Union Apostolic
87 Zion Union Apostolic--Reformed
88 Disciples of God
89 Grace Reformed
90 Holiness Church of God
91 Evangelical Covenant
92 Mission Covenant
93 Missionary Baptist
94 Swedish Mission
95 Unity
96 United Church of Christianity
97 Other Fundamentalist
98 Federated Church
99 American Reform
100 Grace Brethren
101 Christ in God
102 Charismatic
103 Pentecostal Apostolic
104 House of Prayer
105 Latvian Lutheran
106 Triumph Church of God
107 Apostolic Christian
108 Christ Cathedral of Truth
109 Bible Missionary
110 Calvary Bible
111 Amish
112 Evangelical Methodist
113 Worldwide Church of God
114 Church Universal and Triumphant
115 Mennonite Brethren
116 Church of the First Born
117 Missionary Church
118 The Way Ministry
119 United Church of Canada
120 Evangelical United Brethren
121 The Church of God of Prophecy
122 Chapel of Faith
123 Polish National Church
124 Faith Gospel Tabernacle
125 Christian Calvary Chapel
126 Carmelite
127 Church of Daniel's Band
128 Christian Tabernacle
129 Living Word
130 True Light Church of Christ
131 Macedonia
132 Brother of Christ
133 Primitive Baptist
134 Independent Fundamental Church of America
135 Chinese Gospel Church
136 New Age Spirituality
137 New Song
138 Apostolic Church
139 Faith Christian
140 People's Church
141 New Birth Christian
142 Unity School of Christianity
143 Assyrian Evangelist Church
144 Spirit of Christ
145 Church of Jesus Christ of the Restoration
146 Laotian Christian
148 Schwenkfelder
149 Polish Catholic
150 Zwinglian
151 World Overcomer Outreach Ministry
152 Course in Miracles
153 Unity of the Brethren
154 Spirit Filled
155 Christian Union
156 Church of Living Christ
157 Community of Christ
158 New Hope Christian Fellowship
159 Community Christian Fellowship
160 Friends in Christ
161 Hawaiian Ohana
162 Reformed Church of Jesus Christ of Latter Day Saints
163 Swedenurgian/Churches of the New Jerusalem
164 Divine Science
165 Church of the Living God
166 United Christian
167 Sanctuary
168 Rain on Us Deliverance Ministries
169 The Word Church
170 Cornerstone Church
171 Life Sanctuary
172 Word of Faith Church
173 Harvest Church
174 Shephard's Chapel
175 Greater New Testament Church
176 Vineyard Church
177 Real Life Ministries
178 Cathedral of Joy
179 Great Faith Ministries
180 Shield of Faith Ministries
181 Born Again
182 Alliance
183 Jacobite Apostolic
184 Church of God of Israel
185 Journeys
186 National Progressive Baptist
187 New Apostolic
188 Metropolitan Community
189 Family Life Church
190 Faith Fellowship
191 Faith Covenant
192 New Thought
193 Free Spirit Ministry
194 Jacobite Syrian Christian Church
195 The Ark Church
196 Empowerment Temple
197 Grace Independent Baptist Church
198 New Life
199 Follower of Christ
200 North Country Chapel
201 Pathways Christian Church
202 Messianic Christian
203 Warehouse Ministries
204 Universal Church of the Kingdom of God
205 Assembly of Christ
206 The Amana Church
207 The Legacy Church
208 Calvary
209 Church of the Living God
998 DK
999 NA
336
OTHJew Label: Consider self to be Jewish
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half or part
3 No
8 DONT KNOW
9 NA
337
Jew Label: What sort of Jew R is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
5 Other
8 DK
9 NA
338
JewAJ Label: What sort of Jew R is
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
8 DK
9 NA
339
FUND Label: How fundamentalist Is R currently
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
340
ATTEND Label: How often R attends religious services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
0 NEVER
1 LT ONCE A YEAR
2 ONCE A YEAR
3 SEVRL TIMES A YR
4 ONCE A MONTH
5 2-3X A MONTH
6 NRLY EVERY WEEK
7 EVERY WEEK
8 MORE THN ONCE WK
9 DK,NA
341
MAATTEND Label: How often MA attended religious services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NEVER
1 LT ONCE A YEAR
2 ONCE A YEAR
3 SEVRL TIMES A YR
4 ONCE A MONTH
5 2-3X A MONTH
6 NRLY EVERY WEEK
7 EVERY WEEK
8 MORE THN ONCE WK
9 DK,NA
342
PAATTEND Label: How often PA attended religious services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NEVER
1 LT ONCE A YEAR
2 ONCE A YEAR
3 SEVRL TIMES A YR
4 ONCE A MONTH
5 2-3X A MONTH
6 NRLY EVERY WEEK
7 EVERY WEEK
8 MORE THN ONCE WK
9 DK,NA
343
SPATTEND Label: How often SP attends religious services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NEVER
1 LT ONCE A YEAR
2 ONCE A YEAR
3 SEVRL TIMES A YR
4 ONCE A MONTH
5 2-3X A MONTH
6 NRLY EVERY WEEK
7 EVERY WEEK
8 MORE THN ONCE WK
9 DK,NA
344
RELITEN Label: Strength of affiliation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG
2 NOT VERY STRONG
3 SOMEWHAT STRONG
4 NO RELIGION
8 DK
9 NA
345
RELITENA Label: Strength of affiliation
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG
2 NOT VERY STRONG
3 SOMEWHAT STRONG
4 NO RELIGION
8 DK
9 NA
346
POSTLIFE Label: Belief in life after death
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
347
POSTLF1 Label: Life of peace and tranquility
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
348
POSTLF2 Label: Life of intense action
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
349
POSTLF3 Label: Like here on earth only better
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
350
POSTLF4 Label: Life without many earthly joys
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
351
POSTLF5 Label: Pale or shadowy form of life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
352
POSTLF6 Label: A spiritual life involving mind not body
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
353
POSTLF7 Label: Paradise of pleasures and delights
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
354
POSTLF8 Label: Place of loving intellectual communion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
355
POSTLF9 Label: Union with god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
356
POSTLF10 Label: Reunion with loved ones
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
357
LIKEDIFF Label: Afterlife contrast: better or lacking
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER THAN EARTH
7 LIFE LACKING
8 DK
9 NA
358
MINDBODY Label: Afterlife contrast: spiritual or sensual
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPIRITUAL
7 SENSUAL LIFE
8 DK
9 NA
359
RESTACT Label: Afterlife contrast: peaceful or action
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PEACEFUL
7 INTENSE ACTION
8 DK
9 NA
360
PALEFULL Label: Afterlife contrast: shadows or full
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PALE, SHADOWY
7 COMPLETE FULFILLMENT
8 DK
9 NA
361
PRAY Label: How often Does R pray
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SEVERAL TIMES A DAY
2 ONCE A DAY
3 SEVERAL TIMES A WEEK
4 ONCE A WEEK
5 LT ONCE A WEEK
6 NEVER
8 DK
9 NA
362
DEJAVU Label: Thought one was someplace before
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER IN MY LIFE
2 ONCE OR TWICE
3 SEVERAL TIMES
4 OFTEN
8 CANNOT ANSWER
9 NA
363
ESP Label: Felt in touch with someone far away
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER IN MY LIFE
2 ONCE OR TWICE
3 SEVERAL TIMES
4 OFTEN
8 CANNOT ANSWER
9 NA
364
VISIONS Label: Perceived events at great distance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER IN MY LIFE
2 ONCE OR TWICE
3 SEVERAL TIMES
4 OFTEN
8 CANNOT ANSWER
9 NA
365
SPIRITS Label: Felt in touch with deceased person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER IN MY LIFE
2 ONCE OR TWICE
3 SEVERAL TIMES
4 OFTEN
8 CANNOT ANSWER
9 NA
366
GRACE Label: Had powerful religious experience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER IN MY LIFE
2 ONCE OR TWICE
3 SEVERAL TIMES
4 OFTEN
8 CANNOT ANSWER
9 NA
367
NEARGOD Label: How close Does R feel to god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY CLOSE
2 SOMEWHAT CLOSE
3 NOT VERY CLOSE
4 NOT CLOSE AT ALL
5 DOES NOT BELIEVE
8 DK
9 NA
368
JUDGE Label: Image of god as judge
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
369
REDEEMER Label: Image of god as redeemer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
370
LOVER Label: Image of god as lover
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
371
MASTER Label: Image of god as master
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
372
MOTHER Label: Image of god as mother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
373
CREATOR Label: Image of god as creator
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
374
FATHER Label: Image of god as father
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
375
SPOUSE Label: Image of god as spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
376
FRIEND Label: Image of god as friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
377
KING Label: Image of god as king
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
378
LIBERATR Label: Image of god as liberator
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
379
HEALER Label: Image of god as healer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
380
MAPA Label: Contrast between mother and father
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOTHER
7 FATHER
8 DK
9 NA
381
MASTERSP Label: Contrast between master and spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MASTER
7 SPOUSE
8 DK
9 NA
382
JUDGELUV Label: Contrast between judge and lover
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 JUDGE
7 LOVER
8 DK
9 NA
383
FRNDKING Label: Contrast between friend and king
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FRIEND
7 KING
8 DK
9 NA
384
CRTRHEAL Label: Contrast between creator and healer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CREATOR
7 HEALER
8 DK
9 NA
385
RDEEMLIB Label: Contrast between redeemer and liberator
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REDEEMER
7 LIBERATOR
8 DK
9 NA
386
POPESPKS Label: Pope is infallible on matteR's of faith or morals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CERTAINLY TRUE
2 PROBABLY TRUE
3 UNCERTAIN TRUE OR FALSE
4 PROBABLY FALSE
5 CERTAINLY FALSE
8 DONT KNOW
9 NO ANSWER
387
RELIG16 Label: Religion in which raised
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
6 BUDDHISM
7 HINDUISM
8 OTHER EASTERN
9 MOSLEM/ISLAM
10 ORTHODOX-CHRISTIAN
11 CHRISTIAN
12 NATIVE AMERICAN
13 INTER-NONDENOMINATIONAL
98 DK
99 NA
388
DENOM16 Label: Denomination in which R was raised
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTH
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN US
42 OTHER PRESBYTERIAN
43 PRESBYTERIAN, MERGED
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
389
OTH16 Label: Other protestant denominations
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 Hungarian Reformed
2 Evangelical Congregational
3 Ind Bible, Bible, Bible Fellowship
5 Church of Prophecy
6 New Testament Christian
7 Church of God, Saint & Christ
8 Moravian
9 Christian & Missionary Alliance
10 Advent Christian
11 Spiritualist
12 Assembly of God
13 Free Methodist
14 Apostolic Faith
15 African Methodist
16 Free Will Baptist
17 Eden Evangelist
18 Holiness (Nazarene)
19 Baptist (Northern)
20 Brethren Church, Brethren
21 Witness Holiness
22 Brethren, Plymouth
23 United Brethren, United Brethren in Christ
24 Independent
25 Christian Disciples
26 Christ in Christian Union
27 Open Bible
28 Christian Catholic
29 Christ Church Unity
30 Christ Adelphians
31 Christian; Central Christian
32 Christian Reform
33 Christian Scientist
34 Church of Christ, Evangelical
35 Church of Christ
36 Churches of God(Except with Christ and Holiness)
37 Church of God in Christ
38 Church of God in Christ Holiness
39 Church of the Living God
40 Congregationalist, 1st Congreg
41 Community Church
42 Covenant
43 Dutch Reform
44 Disciples of Christ
45 Evangelical, Evangelist
46 Evangelical Reformed
47 Evangelist Free Church
48 First Church
49 First Christian Disciples of Christ
50 First Reformed
51 First Christian
52 Full Gospel
53 Four Square Gospel
54 Friends
55 Holy Roller
56 Holiness; Church of Holiness
57 Pilgrim Holiness
58 Jehovah's Witnesses
59 LDS
60 LDS--Mormon
61 LDS--Reorganized
62 LDS--Jesus Christ; Church of Jesus LDS
63 Mennonite
64 Mormon
65 Nazarene
66 Pentecostal Assembly of God
67 Pentecostal Church of God
68 Pentecostal
69 Pentecostal Holiness, Holiness Pentecostal
70 Quaker
71 Reformed
72 Reformed United Church of Christ
73 Reformed Church of Christ
74 Religious Science
75 Mind Science
76 Salvation Army
77 7th Day Adventist
78 Sanctified, Sanctification
79 United Holiness
80 Unitarian, Universalist
81 United Church of Christ
82 United Church, Unity Church
83 Wesleyan
84 Wesleyan Methodist--Pilgrim
85 Zion Union
86 Zion Union Apostolic
87 Zion Union Apostolic--Reformed
88 Disciples of God
89 Grace Reformed
90 Holiness Church of God
91 Evangelical Covenant
92 Mission Covenant
93 Missionary Baptist
94 Swedish Mission
95 Unity
96 United Church of Christianity
97 Other Fundamentalist
98 Federated Church
99 American Reform
100 Grace Brethren
101 Christ in God
102 Charismatic
103 Pentecostal Apostolic
104 House of Prayer
105 Latvian Lutheran
106 Triumph Church of God
107 Apostolic Christian
108 Christ Cathedral of Truth
109 Bible Missionary
110 Calvary Bible
111 Amish
112 Evangelical Methodist
113 Worldwide Church of God
114 Church Universal and Triumphant
115 Mennonite Brethren
116 Church of the First Born
117 Missionary Church
118 The Way Ministry
119 United Church of Canada
120 Evangelical United Brethren
121 The Church of God of Prophecy
122 Chapel of Faith
123 Polish National Church
124 Faith Gospel Tabernacle
125 Christian Calvary Chapel
126 Carmelite
127 Church of Daniel's Band
128 Christian Tabernacle
129 Living Word
130 True Light Church of Christ
131 Macedonia
132 Brother of Christ
133 Primitive Baptist
134 Independent Fundamental Church of America
135 Chinese Gospel Church
136 New Age Spirituality
137 New Song
138 Apostolic Church
139 Faith Christian
140 People's Church
141 New Birth Christian
142 Unity School of Christianity
143 Assyrian Evangelist Church
144 Spirit of Christ
145 Church of Jesus Christ of the Restoration
146 Laotian Christian
148 Schwenkfelder
149 Polish Catholic
150 Zwinglian
151 World Overcomer Outreach Ministry
152 Course in Miracles
153 Unity of the Brethren
154 Spirit Filled
155 Christian Union
156 Church of Living Christ
157 Community of Christ
158 New Hope Christian Fellowship
159 Community Christian Fellowship
160 Friends in Christ
161 Hawaiian Ohana
162 Reformed Church of Jesus Christ of Latter Day Saints
163 Swedenurgian/Churches of the New Jerusalem
164 Divine Science
165 Church of the Living God
166 United Christian
167 Sanctuary
168 Rain on Us Deliverance Ministries
169 The Word Church
170 Cornerstone Church
171 Life Sanctuary
172 Word of Faith Church
173 Harvest Church
174 Shephard's Chapel
175 Greater New Testament Church
176 Vineyard Church
177 Real Life Ministries
178 Cathedral of Joy
179 Great Faith Ministries
180 Shield of Faith Ministries
181 Born Again
182 Alliance
183 Jacobite Apostolic
184 Church of God of Israel
185 Journeys
186 National Progressive Baptist
187 New Apostolic
188 Metropolitan Community
189 Family Life Church
190 Faith Fellowship
191 Faith Covenant
192 New Thought
193 Free Spirit Ministry
194 Jacobite Syrian Christian Church
195 The Ark Church
196 Empowerment Temple
197 Grace Independent Baptist Church
198 New Life
199 Follower of Christ
200 North Country Chapel
201 Pathways Christian Church
202 Messianic Christian
203 Warehouse Ministries
204 Universal Church of the Kingdom of God
205 Assembly of Christ
206 The Amana Church
207 The Legacy Church
208 Calvary
209 Church of the Living God
998 DK
999 NA
390
OTHJew16 Label: R raised as a Jew
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half or part
3 No
8 DONT KNOW
9 NA
391
Jew16 Label: What sort of Jew R was at age 16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
5 Other
8 DK
9 NA
392
Jew16AJ Label: What sort of Jew R was at age 16
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
8 DK
9 NA
393
FUND16 Label: How fundamentalist was R at age 16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
394
SPREL Label: Spouse's religious preference
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
6 BUDDHISM
7 HINDUISM
8 OTHER EASTERN
9 MOSLEM/ISLAM
10 ORTHODOX-CHRISTIAN
11 CHRISTIAN
12 NATIVE AMERICAN
13 INTER-NONDENOMINATIONAL
98 DK
99 NA
395
SPDEN Label: Specific denomination, spouse
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTH
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN US
42 OTHER PRESBYTERIAN
43 PRESBYTERIAN, MERGED
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
396
SPOTHER Label: Other protestant denominations
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 Hungarian Reformed
2 Evangelical Congregational
3 Ind Bible, Bible, Bible Fellowship
5 Church of Prophecy
6 New Testament Christian
7 Church of God, Saint & Christ
8 Moravian
9 Christian & Missionary Alliance
10 Advent Christian
11 Spiritualist
12 Assembly of God
13 Free Methodist
14 Apostolic Faith
15 African Methodist
16 Free Will Baptist
17 Eden Evangelist
18 Holiness (Nazarene)
19 Baptist (Northern)
20 Brethren Church, Brethren
21 Witness Holiness
22 Brethren, Plymouth
23 United Brethren, United Brethren in Christ
24 Independent
25 Christian Disciples
26 Christ in Christian Union
27 Open Bible
28 Christian Catholic
29 Christ Church Unity
30 Christ Adelphians
31 Christian; Central Christian
32 Christian Reform
33 Christian Scientist
34 Church of Christ, Evangelical
35 Church of Christ
36 Churches of God(Except with Christ and Holiness)
37 Church of God in Christ
38 Church of God in Christ Holiness
39 Church of the Living God
40 Congregationalist, 1st Congreg
41 Community Church
42 Covenant
43 Dutch Reform
44 Disciples of Christ
45 Evangelical, Evangelist
46 Evangelical Reformed
47 Evangelist Free Church
48 First Church
49 First Christian Disciples of Christ
50 First Reformed
51 First Christian
52 Full Gospel
53 Four Square Gospel
54 Friends
55 Holy Roller
56 Holiness; Church of Holiness
57 Pilgrim Holiness
58 Jehovah's Witnesses
59 LDS
60 LDS--Mormon
61 LDS--Reorganized
62 LDS--Jesus Christ; Church of Jesus LDS
63 Mennonite
64 Mormon
65 Nazarene
66 Pentecostal Assembly of God
67 Pentecostal Church of God
68 Pentecostal
69 Pentecostal Holiness, Holiness Pentecostal
70 Quaker
71 Reformed
72 Reformed United Church of Christ
73 Reformed Church of Christ
74 Religious Science
75 Mind Science
76 Salvation Army
77 7th Day Adventist
78 Sanctified, Sanctification
79 United Holiness
80 Unitarian, Universalist
81 United Church of Christ
82 United Church, Unity Church
83 Wesleyan
84 Wesleyan Methodist--Pilgrim
85 Zion Union
86 Zion Union Apostolic
87 Zion Union Apostolic--Reformed
88 Disciples of God
89 Grace Reformed
90 Holiness Church of God
91 Evangelical Covenant
92 Mission Covenant
93 Missionary Baptist
94 Swedish Mission
95 Unity
96 United Church of Christianity
97 Other Fundamentalist
98 Federated Church
99 American Reform
100 Grace Brethren
101 Christ in God
102 Charismatic
103 Pentecostal Apostolic
104 House of Prayer
105 Latvian Lutheran
106 Triumph Church of God
107 Apostolic Christian
108 Christ Cathedral of Truth
109 Bible Missionary
110 Calvary Bible
111 Amish
112 Evangelical Methodist
113 Worldwide Church of God
114 Church Universal and Triumphant
115 Mennonite Brethren
116 Church of the First Born
117 Missionary Church
118 The Way Ministry
119 United Church of Canada
120 Evangelical United Brethren
121 The Church of God of Prophecy
122 Chapel of Faith
123 Polish National Church
124 Faith Gospel Tabernacle
125 Christian Calvary Chapel
126 Carmelite
127 Church of Daniel's Band
128 Christian Tabernacle
129 Living Word
130 True Light Church of Christ
131 Macedonia
132 Brother of Christ
133 Primitive Baptist
134 Independent Fundamental Church of America
135 Chinese Gospel Church
136 New Age Spirituality
137 New Song
138 Apostolic Church
139 Faith Christian
140 People's Church
141 New Birth Christian
142 Unity School of Christianity
143 Assyrian Evangelist Church
144 Spirit of Christ
145 Church of Jesus Christ of the Restoration
146 Laotian Christian
148 Schwenkfelder
149 Polish Catholic
150 Zwinglian
151 World Overcomer Outreach Ministry
152 Course in Miracles
153 Unity of the Brethren
154 Spirit Filled
155 Christian Union
156 Church of Living Christ
157 Community of Christ
158 New Hope Christian Fellowship
159 Community Christian Fellowship
160 Friends in Christ
161 Hawaiian Ohana
162 Reformed Church of Jesus Christ of Latter Day Saints
163 Swedenurgian/Churches of the New Jerusalem
164 Divine Science
165 Church of the Living God
166 United Christian
167 Sanctuary
168 Rain on Us Deliverance Ministries
169 The Word Church
170 Cornerstone Church
171 Life Sanctuary
172 Word of Faith Church
173 Harvest Church
174 Shephard's Chapel
175 Greater New Testament Church
176 Vineyard Church
177 Real Life Ministries
178 Cathedral of Joy
179 Great Faith Ministries
180 Shield of Faith Ministries
181 Born Again
182 Alliance
183 Jacobite Apostolic
184 Church of God of Israel
185 Journeys
186 National Progressive Baptist
187 New Apostolic
188 Metropolitan Community
189 Family Life Church
190 Faith Fellowship
191 Faith Covenant
192 New Thought
193 Free Spirit Ministry
194 Jacobite Syrian Christian Church
195 The Ark Church
196 Empowerment Temple
197 Grace Independent Baptist Church
198 New Life
199 Follower of Christ
200 North Country Chapel
201 Pathways Christian Church
202 Messianic Christian
203 Warehouse Ministries
204 Universal Church of the Kingdom of God
205 Assembly of Christ
206 The Amana Church
207 The Legacy Church
208 Calvary
209 Church of the Living God
998 DK
999 NA
397
SPOTHJew Label: Spouse considers self Jewish
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half or part
3 No
8 DONT KNOW
9 NA
398
SPJew Label: What sort of Jew Is R's spouse currently
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
5 Other
8 DK
9 NA
399
SPJewAJ Label: What sort of Jew Is R's spouse currently
Format: F8.0
Measure: Nominal
Display Width: 8
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
8 DK
9 NA
400
SPFUND Label: How fundamentalist is spouse currently
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
401
SPREL16 Label: Religion in which spouse raised
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
8 DONT KNOW
9 NA
402
SPDEN16 Label: Denomination in which spouse raised
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELIC LUTH
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN USA
42 OTHER PRESBYTERIAN
43 PRESBYTERIAN, MERGED
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
403
SPOTH16 Label: Other protestant denominations
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 Hungarian Reformed
2 Evangelical Congregational
3 Ind Bible, Bible, Bible Fellowship
5 Church of Prophecy
6 New Testament Christian
7 Church of God, Saint & Christ
8 Moravian
9 Christian & Missionary Alliance
10 Advent Christian
11 Spiritualist
12 Assembly of God
13 Free Methodist
14 Apostolic Faith
15 African Methodist
16 Free Will Baptist
17 Eden Evangelist
18 Holiness (Nazarene)
19 Baptist (Northern)
20 Brethren Church, Brethren
21 Witness Holiness
22 Brethren, Plymouth
23 United Brethren, United Brethren in Christ
24 Independent
25 Christian Disciples
26 Christ in Christian Union
27 Open Bible
28 Christian Catholic
29 Christ Church Unity
30 Christ Adelphians
31 Christian; Central Christian
32 Christian Reform
33 Christian Scientist
34 Church of Christ, Evangelical
35 Church of Christ
36 Churches of God(Except with Christ and Holiness)
37 Church of God in Christ
38 Church of God in Christ Holiness
39 Church of the Living God
40 Congregationalist, 1st Congreg
41 Community Church
42 Covenant
43 Dutch Reform
44 Disciples of Christ
45 Evangelical, Evangelist
46 Evangelical Reformed
47 Evangelist Free Church
48 First Church
49 First Christian Disciples of Christ
50 First Reformed
51 First Christian
52 Full Gospel
53 Four Square Gospel
54 Friends
55 Holy Roller
56 Holiness; Church of Holiness
57 Pilgrim Holiness
58 Jehovah's Witnesses
59 LDS
60 LDS--Mormon
61 LDS--Reorganized
62 LDS--Jesus Christ; Church of Jesus LDS
63 Mennonite
64 Mormon
65 Nazarene
66 Pentecostal Assembly of God
67 Pentecostal Church of God
68 Pentecostal
69 Pentecostal Holiness, Holiness Pentecostal
70 Quaker
71 Reformed
72 Reformed United Church of Christ
73 Reformed Church of Christ
74 Religious Science
75 Mind Science
76 Salvation Army
77 7th Day Adventist
78 Sanctified, Sanctification
79 United Holiness
80 Unitarian, Universalist
81 United Church of Christ
82 United Church, Unity Church
83 Wesleyan
84 Wesleyan Methodist--Pilgrim
85 Zion Union
86 Zion Union Apostolic
87 Zion Union Apostolic--Reformed
88 Disciples of God
89 Grace Reformed
90 Holiness Church of God
91 Evangelical Covenant
92 Mission Covenant
93 Missionary Baptist
94 Swedish Mission
95 Unity
96 United Church of Christianity
97 Other Fundamentalist
98 Federated Church
99 American Reform
100 Grace Brethren
101 Christ in God
102 Charismatic
103 Pentecostal Apostolic
104 House of Prayer
105 Latvian Lutheran
106 Triumph Church of God
107 Apostolic Christian
108 Christ Cathedral of Truth
109 Bible Missionary
110 Calvary Bible
111 Amish
112 Evangelical Methodist
113 Worldwide Church of God
114 Church Universal and Triumphant
115 Mennonite Brethren
116 Church of the First Born
117 Missionary Church
118 The Way Ministry
119 United Church of Canada
120 Evangelical United Brethren
121 The Church of God of Prophecy
122 Chapel of Faith
123 Polish National Church
124 Faith Gospel Tabernacle
125 Christian Calvary Chapel
126 Carmelite
127 Church of Daniel's Band
128 Christian Tabernacle
129 Living Word
130 True Light Church of Christ
131 Macedonia
132 Brother of Christ
133 Primitive Baptist
134 Independent Fundamental Church of America
135 Chinese Gospel Church
136 New Age Spirituality
137 New Song
138 Apostolic Church
139 Faith Christian
140 People's Church
141 New Birth Christian
142 Unity School of Christianity
143 Assyrian Evangelist Church
144 Spirit of Christ
145 Church of Jesus Christ of the Restoration
146 Laotian Christian
148 Schwenkfelder
150 Zwinglian
151 World Overcomer Outreach Ministry
152 Course in Miracles
153 Unity of the Brethren
154 Spirit Filled
155 Christian Union
156 Church of Living Christ
157 Community of Christ
158 New Hope Christian Fellowship
159 Community Christian Fellowship
160 Friends in Christ
161 Hawaiian Ohana
162 Reformed Church of Jesus Christ of Latter Day Saints
163 Swedenurgian/Churches of the New Jerusalem
164 Divine Science
165 Church of the Living God
166 United Christian
167 Sanctuary
168 Rain on Us Deliverance Ministries
169 The Word Church
170 Cornerstone Church
171 Life Sanctuary
172 Word of Faith Church
173 Harvest Church
174 Shephard's Chapel
175 Greater New Testament Church
176 Vineyard Church
177 Real Life Ministries
178 Cathedral of Joy
179 Great Faith Ministries
180 Shield of Faith Ministries
181 Born Again
182 Alliance
183 Jacobite Apostolic
184 Church of God of Israel
185 Journeys
186 National Progressive Baptist
187 New Apostolic
188 Metropolitan Community
189 Family Life Church
190 Faith Fellowship
191 Faith Covenant
192 New Thought
193 Free Spirit Ministry
194 Jacobite Syrian Christian Church
195 The Ark Church
998 DK
999 NA
404
SPJew16 Label: What sort of Jew was R's spouse at 16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
8 DK
9 NA
405
SPFUND16 Label: How fundamentalist was spouse at 16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
406
COREL Label: Partner's religious preference
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
6 BUDDHISM
7 HINDUISM
8 OTHER EASTERN
9 MOSLEM/ISLAM
10 ORTHODOX-CHRISTIAN
11 CHRISTIAN
12 NATIVE AMERICAN
13 INTER-NONDENOMINATIONAL
98 DK
99 NA
407
CODEN Label: Partner's denomination
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
26 MENNONITE
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTH
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN US
42 OTHER PRESBYTERIAN
43 PRESBYTERIAN, MERGED
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER-SPECIFY
70 NO DENOMINATION
98 DK
99 NA
408
COOTHER Label: Other protestant denominations
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 Hungarian Reformed
2 Evangelical Congregational
3 Ind Bible, Bible, Bible Fellowship
5 Church of Prophecy
6 New Testament Christian
7 Church of God, Saint & Christ
8 Moravian
9 Christian & Missionary Alliance
10 Advent Christian
11 Spiritualist
12 Assembly of God
13 Free Methodist
14 Apostolic Faith
15 African Methodist
16 Free Will Baptist
17 Eden Evangelist
18 Holiness (Nazarene)
19 Baptist (Northern)
20 Brethren Church, Brethren
21 Witness Holiness
22 Brethren, Plymouth
23 United Brethren, United Brethren in Christ
24 Independent
25 Christian Disciples
26 Christ in Christian Union
27 Open Bible
28 Christian Catholic
29 Christ Church Unity
30 Christ Adelphians
31 Christian; Central Christian
32 Christian Reform
33 Christian Scientist
34 Church of Christ, Evangelical
35 Church of Christ
36 Churches of God(Except with Christ and Holiness)
37 Church of God in Christ
38 Church of God in Christ Holiness
39 Church of the Living God
40 Congregationalist, 1st Congreg
41 Community Church
42 Covenant
43 Dutch Reform
44 Disciples of Christ
45 Evangelical, Evangelist
46 Evangelical Reformed
47 Evangelist Free Church
48 First Church
49 First Christian Disciples of Christ
50 First Reformed
51 First Christian
52 Full Gospel
53 Four Square Gospel
54 Friends
55 Holy Roller
56 Holiness; Church of Holiness
57 Pilgrim Holiness
58 Jehovah's Witnesses
59 LDS
60 LDS--Mormon
61 LDS--Reorganized
62 LDS--Jesus Christ; Church of Jesus LDS
63 Mennonite
64 Mormon
65 Nazarene
66 Pentecostal Assembly of God
67 Pentecostal Church of God
68 Pentecostal
69 Pentecostal Holiness, Holiness Pentecostal
70 Quaker
71 Reformed
72 Reformed United Church of Christ
73 Reformed Church of Christ
74 Religious Science
75 Mind Science
76 Salvation Army
77 7th Day Adventist
78 Sanctified, Sanctification
79 United Holiness
80 Unitarian, Universalist
81 United Church of Christ
82 United Church, Unity Church
83 Wesleyan
84 Wesleyan Methodist--Pilgrim
85 Zion Union
86 Zion Union Apostolic
87 Zion Union Apostolic--Reformed
88 Disciples of God
89 Grace Reformed
90 Holiness Church of God
91 Evangelical Covenant
92 Mission Covenant
93 Missionary Baptist
94 Swedish Mission
95 Unity
96 United Church of Christianity
97 Other Fundamentalist
98 Federated Church
99 American Reform
100 Grace Brethren
101 Christ in God
102 Charismatic
103 Pentecostal Apostolic
104 House of Prayer
105 Latvian Lutheran
106 Triumph Church of God
107 Apostolic Christian
108 Christ Cathedral of Truth
109 Bible Missionary
110 Calvary Bible
111 Amish
112 Evangelical Methodist
113 Worldwide Church of God
114 Church Universal and Triumphant
115 Mennonite Brethren
116 Church of the First Born
117 Missionary Church
118 The Way Ministry
119 United Church of Canada
120 Evangelical United Brethren
121 The Church of God of Prophecy
122 Chapel of Faith
123 Polish National Church
124 Faith Gospel Tabernacle
125 Christian Calvary Chapel
126 Carmelite
127 Church of Daniel's Band
128 Christian Tabernacle
129 Living Word
130 True Light Church of Christ
131 Macedonia
132 Brother of Christ
133 Primitive Baptist
134 Independent Fundamental Church of America
135 Chinese Gospel Church
136 New Age Spirituality
137 New Song
138 Apostolic Church
139 Faith Christian
140 People's Church
141 New Birth Christian
142 Unity School of Christianity
143 Assyrian Evangelist Church
144 Spirit of Christ
145 Church of Jesus Christ of the Restoration
146 Laotian Christian
148 Schwenkfelder
149 Polish Catholic
150 Zwinglian
151 World Overcomer Outreach Ministry
152 Course in Miracles
153 Unity of the Brethren
154 Spirit Filled
155 Christian Union
156 Church of Living Christ
157 Community of Christ
158 New Hope Christian Fellowship
159 Community Christian Fellowship
160 Friends in Christ
161 Hawaiian Ohana
162 Reformed Church of Jesus Christ of Latter Day Saints
163 Swedenurgian/Churches of the New Jerusalem
164 Divine Science
165 Church of the Living God
166 United Christian
167 Sanctuary
168 Rain on Us Deliverance Ministries
169 The Word Church
170 Cornerstone Church
171 Life Sanctuary
172 Word of Faith Church
173 Harvest Church
174 Shephard's Chapel
175 Greater New Testament Church
176 Vineyard Church
177 Real Life Ministries
178 Cathedral of Joy
179 Great Faith Ministries
180 Shield of Faith Ministries
181 Born Again
182 Alliance
183 Jacobite Apostolic
184 Church of God of Israel
185 Journeys
186 National Progressive Baptist
187 New Apostolic
188 Metropolitan Community
189 Family Life Church
190 Faith Fellowship
191 Faith Covenant
192 New Thought
193 Free Spirit Ministry
194 Jacobite Syrian Christian Church
195 The Ark Church
196 Empowerment Temple
197 Grace Independent Baptist Church
198 New Life
199 Follower of Christ
200 North Country Chapel
201 Pathways Christian Church
202 Messianic Christian
203 Warehouse Ministries
204 Universal Church of the Kingdom of God
205 Assembly of Christ
206 The Amana Church
207 The Legacy Church
208 Calvary
209 Church of the Living God
998 DK
999 NA
409
COJew Label: What sort of Jew Is R's partner currently
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ORTHODOX
2 CONSERVATIVE
3 REFORM
4 NONE OF THESE
8 DK
9 NA
410
COFUND Label: How fundamentalist is partner's current religion
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 MODERATE
3 LIBERAL
8 DK
9 NA-excluded
411
TITHING Label: How much Does R give to religion
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99995 TITHES, AMT. NOT GIVEN
99996 99996 OR MORE
99997 REFUSED
99998 DK
99999 NA
412
PRAYER Label: Bible prayer in public schools
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 APPROVE
2 DISAPPROVE
8 DK
9 NA
413
PRAYERY Label: Bible prayer in schools-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REQUIRED
2 FORBIDDEN
3 LOCAL DECISION
8 DK
9 NA
414
PRAYERX Label: Bible prayer in schools:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PRAYER READ DAILY
2 SILENT MEDITATION
3 NO PRAYERS
4 OTHER
8 DK
9 NA
415
BIBLE Label: Feelings about the bible
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORD OF GOD
2 INSPIRED WORD
3 BOOK OF FABLES
4 OTHER
8 DK
9 NA
416
BIBLEY Label: Feelings about the bible:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOD'S WORD
2 INSPIRED BY GOD
3 WRITTEN BY MAN
4 NOT WORTH MUCH
5 OTHER
8 DK
9 NA
417
WORLD1 Label: World image:much evil vs. much good
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORLD IS EVIL
7 WORLD IS GOOD
8 DK
9 NA
418
WORLD2 Label: World image:the good must act vs. not
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 THE GOOD MUST ACT
7 GOOD MUST BEWARE
8 DK
9 NA
419
WORLD3 Label: World image:god not here vs. here
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOD NOT HERE
7 GOD IS HERE
8 DK
9 NA
420
WORLD4 Label: World image:man is good vs. corrupt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PEOPLE ARE GOOD
7 PEOPLE ARE EVIL
8 DK
9 NA
421
WORLD5 Label: World image:arts are good vs. not
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ARTS CAN BE HOLY
7 ARTS CAN BE EVIL
8 DK
9 NA
422
WORLD6 Label: World image:chaos vs. harmony
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORLD IS CHAOTIC
7 WORLD IS HARMONIOUS
8 DK
9 NA
423
WORLD7 Label: World image:ach. reveals god vs. not
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ACTION REVEALS GOD
7 MOST ACTS ARE VAIN
8 DK
9 NA
424
LIBTEMP Label: Feeling thermometer:liberals
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
425
CONTEMP Label: Feeling thermometer:conservatives
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
426
PROTTEMP Label: Feeling thermometer:protestants
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
427
CATHTEMP Label: Feeling thermometer:catholics
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
428
JewTEMP Label: Feeling thermometer:Jews
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
429
MSLMTEMP Label: Feeling thermometer:muslims
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
430
FEPRIEST Label: R favors women as priests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 NO OPINION
9 NA
431
FECLERGY Label: R favors women as ministers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
8 NO OPINION
9 NA
432
RELGRADE Label: Grade given religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A
2 B
3 C
4 D
5 F
6 NO RELIGION
8 DK
9 NA
433
RACMAR Label: Favor law against racial intermarriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
434
RACMAR10 Label: Favor law against rac intrmar 10 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
435
RACDIN Label: Object to opp. race home for dinner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY OBJECT
2 MILDLY OBJECT
3 NOT OBJECT
8 DK
9 NA
436
RACPUSH Label: Blacks shouldn't push
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SLIGHTLY
3 DISAGREE SLIGHTLY
4 DISAGREE STRONGLY
8 DK
9 NA
437
RACSEG Label: Whites have right to seg. neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SLIGHTLY
3 DISAGREE SLIGHTLY
4 DISAGREE STRONGLY
8 DK
9 NA
438
RACOPEN Label: Vote on open housing law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OWNER DECIDES
2 CANT DISCRIMINATE
3 NEITHER
8 DK
9 NA
439
RACLIVE Label: Any opp. race in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
440
RACCLOS Label: Any opp. race living close to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
441
RACDIS Label: How far are closest opp. race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SAME BLOCK
2 1-3 BLKS AWAY
3 4-8 BLKS AWAY
4 OVER 8 BLKS
8 DK
9 NA
442
RACINTEG Label: Will neighborhood become all black
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL BLACK
2 STAY INTEGRATED
3 MIXED,NOT WH-BL
8 DK
9 NA
443
RACOBJCT Label: Neighborhood integrated by same ses
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES,WOULD LIKE IT
2 YES,WOULD NOT LIKE
3 NO DIFFERENCE
8 DK
9 NA
444
RACHOME Label: Opp. race home for dinner recently
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
445
RACSCHOL Label: Should whites & blacks go to same school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SAME SCHOOLS
2 SEPARATE SCHOOLS
8 DK
9 NA
446
RACFEW Label: Children to school with opposite race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, OBJECT
2 NO
8 DK
9 NA
447
RACHAF Label: Children to school half opposite race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, OBJECT
2 NO
8 DK
9 NA
448
RACMOST Label: Children to school mostly opposite race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, OBJECT
2 NO
8 DK
9 NA
449
BUSING Label: Attitude toward racial busing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
8 DK
9 NA
450
BUSING10 Label: Favor busing 10 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
8 DK
9 NA
451
RACPRES Label: Would vote for black president
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
452
RACJOB Label: Equal opportunities on jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AS GOOD A CHANCE
2 WHITES FIRST
8 DK
9 NA
453
RACCHURH Label: Attend church with other race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 3 THRU HIGHEST; 0
Value Label
0 IAP
1 YES
2 NO
3 NO CHURCH
8 DK
9 NA
454
COLOR Label: R's skin color
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DARK BROWN
2 DARK BROWN
3 MEDIUM BROWN
4 LIGHT BROWN
5 VERY LIGHT BROWN
8 DK
9 NA
455
RACNAME Label: Preferred racial name
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 NEGRO
3 COLORED
4 AFRO-AMERICAN
8 MAKES NO DIFFERENCE
9 NA
456
RACHISCH Label: How integrated was R's high school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 DIDNT GO TO HS
1 ALL BLACK
2 MOSTLY BLACK
3 MOSTLY WHITE
8 DK
9 NA
457
RACMIX Label: How many friends are white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NONE
2 ONE OR TWO
3 THREE OR MORE
8 DK
9 NA
458
RACNEIGH Label: Neighborhood R would like to live in
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL BLACK
2 MOSTLY BLACK
3 .5 BLACK - .5 WHITE
4 MOSTLY WHITE
8 DK
9 NA
459
RACNOBUY Label: Ever boycott certain products
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
460
RACTRUST Label: Trust white people
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST WHITE PEOPLE
2 SOME WHITE PEOPLE
3 NO WHITE PEOPLE
8 DK
9 NA
461
RACPARTY Label: Which party helps blacks more
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPUBLICAN PARTY
2 DEMOCRATIC PARTY
3 NOT MUCH DIFFERENCE
8 DK
9 NA
462
RACOCC Label: Equality in occupation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALWAYS
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
463
RACINC Label: Equality in income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALWAYS
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
464
RACOPNOW Label: Opportunities improved in last 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED
2 REMAINED SAME
3 GOTTEN WORSE
8 DK
9 NA
465
RACOPWIL Label: Opportunities improve in next 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVE
2 REMAIN SAME
3 GET WORSE
8 DK
9 NA
466
RACIMP Label: Importance of race relations issues to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMP AT ALL
8 DK
9 NA
467
RACINFO Label: How much info does R have on race issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
468
RACFIRM Label: How firm Is R's opinion on racial issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY TO CHANG
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 VERY UNLIKELY TO CHA
8 DK
9 NA
469
RACCARE Label: R's concern about racial issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CONCERNED
2 SOMEWHAT CONCERNED
3 NOT VERY CONCERNED
4 NOT CONCERNED AT ALL
8 DK
9 NA
470
RACTHINK Label: How often R & friends think about race issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 FAIRLY OFTEN
3 OCCASIONALLY
4 ALMOST NEVER
8 DK
9 NA
471
RACWRITE Label: R ever written official abt race issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
472
RACGIVE Label: Has R given money to racial orgs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
473
RACJOIN Label: Ever joined org working on racial issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
474
AFFRMACT Label: Favor preference in hiring blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY SUPPORT PREF
2 SUPPORT PREF
3 OPPOSE PREF
4 STRONGLY OPPOSE PREF
8 DK
9 NA
475
WRKWAYUP Label: Blacks overcome prejudice without favors
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE SOMEWHAT
5 DISAGREE STRONGLY
8 DK
9 NA
476
BLKSIMP Label: Have conditions for blacks improved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED
2 GOTTEN WORSE
3 ABOUT THE SAME
8 DK
9 NA
477
CLOSEBLK Label: How close feel to blacks
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL CLOSE
5 NEITHER ONE OR THE OTHER
9 VERY CLOSE
98 DK
99 NA
478
CLOSEWHT Label: How close feel to whites
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL CLOSE
5 NEITHER ONE OR THE OTHER
9 VERY CLOSE
98 DK
99 NA
479
ALIENAT1 Label: People running country don't care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FEEL
2 NOT FEEL
8 DK
9 NA
480
ALIENAT2 Label: Rich get richer, poor poorer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FEEL
2 NOT FEEL
8 DK
9 NA
481
ALIENAT3 Label: What you think doesn't count
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FEEL
2 NOT FEEL
8 DK
9 NA
482
ALIENAT4 Label: You're left out of things
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FEEL
2 NOT FEEL
8 DK
9 NA
483
ALIENAT5 Label: Powerful people take advantage of you
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FEEL
2 NOT FEEL
8 DK
9 NA
484
ALIENAT6 Label: People in Wash D.C. are out of touch
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FEEL
2 NOT FEEL
8 DK
9 NA
485
HAPPY Label: General happiness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY HAPPY
2 PRETTY HAPPY
3 NOT TOO HAPPY
8 DK
9 NA
486
HAPMAR Label: Happiness of marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY HAPPY
2 PRETTY HAPPY
3 NOT TOO HAPPY
8 DK
9 NA
487
HAPCOHAB Label: Happiness of relt with partner
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very happy
2 Pretty happy
3 Not too happy
8 DON'T KNOW
9 No answer
488
HEALTH Label: Condition of health
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 GOOD
3 FAIR
4 POOR
8 DK
9 NA
489
LIFE Label: Is life exciting or dull
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCITING
2 ROUTINE
3 DULL
8 DK
9 NA
490
HELPFUL Label: People helpful or looking out for selves
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HELPFUL
2 LOOKOUT FOR SELF
3 DEPENDS
8 DK
9 NA
491
FAIR Label: People fair or try to take advantage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE ADVANTAGE
2 FAIR
3 DEPENDS
8 DK
9 NA
492
TRUST Label: Can people be trusted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CAN TRUST
2 Can't be too careful
3 DEPENDS
8 DK
9 NA
493
TRUSTY Label: Can people be trusted-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
494
TRUST1 Label: Can people be trusted (see Codebook)
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Can trust
2 Need to be very careful
8 DK
9 NA
495
SATCITY Label: City or place R lives in
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GREAT DEAL
2 GREAT DEAL
3 QUITE A BIT
4 A FAIR AMOUNT
5 SOME
6 A LITTLE
7 NONE
8 DK
9 NA
496
SATHOBBY Label: Non-working activities, hobbies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GREAT DEAL
2 GREAT DEAL
3 QUITE A BIT
4 A FAIR AMOUNT
5 SOME
6 A LITTLE
7 NONE
8 DK
9 NA
497
SATFAM Label: Family life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GREAT DEAL
2 GREAT DEAL
3 QUITE A BIT
4 A FAIR AMOUNT
5 SOME
6 A LITTLE
7 NONE
8 DK
9 NA
498
SATFRND Label: Friendships
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GREAT DEAL
2 GREAT DEAL
3 QUITE A BIT
4 A FAIR AMOUNT
5 SOME
6 A LITTLE
7 NONE
8 DK
9 NA
499
SATHEALT Label: Health and physical condition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GREAT DEAL
2 GREAT DEAL
3 QUITE A BIT
4 A FAIR AMOUNT
5 SOME
6 A LITTLE
7 NONE
8 DK
9 NA
500
CONFINAN Label: Confid in banks & financial institutions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
501
CONBUS Label: Confidence in major companies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
502
CONCLERG Label: Confidence in organized religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
503
CONEDUC Label: Confidence in education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
504
CONFED Label: Confid. in exec branch of fed govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
505
CONLABOR Label: Confidence in organized labor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
506
CONPRESS Label: Confidence in press
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
507
CONMEDIC Label: Confidence in medicine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
508
CONTV Label: Confidence in television
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
509
CONJUDGE Label: Confid. in united states supreme court
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
510
CONSCI Label: Confidence in scientific community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
511
CONLEGIS Label: Confidence in congress
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
512
CONARMY Label: Confidence in military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 ONLY SOME
3 HARDLY ANY
8 DK
9 NA
513
CONFINAY Label: Banks & financial institutions:Ver Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
514
CONBUSY Label: Major companies:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
515
CONCLERY Label: Organized religion:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
516
CONEDUCY Label: Education:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
517
CONFEDY Label: Exec branch fed govt:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
518
CONLABOY Label: Organized labor:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
519
CONPRESY Label: Press:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
520
CONMEDIY Label: Medicine:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
521
CONTVY Label: Television:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
522
CONJUDGY Label: United states supreme court:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
523
CONSCIY Label: Scientific community:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
524
CONLEGIY Label: Congress:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
525
CONARMYY Label: Military:Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
7 NO CONFIDENCE
8 DK
9 NA
526
MANNERS Label: Good manners
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
527
SUCCESS Label: Tries hard to succeed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
528
HONEST Label: Honest
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
529
CLEAN Label: Neat and clean
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
530
JUDGMENT Label: Good sense and sound judgment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
531
CONTROL Label: Self-control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
532
ROLE Label: Acts like boy-acts like girl
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
533
AMICABLE Label: Gets along well with other children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
534
OBEYS Label: Obeys parents well
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
535
RESPONSI Label: Responsible
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
536
CONSIDER Label: Considerate of others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
537
INTEREST Label: Interested how and why things happen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
538
STUDIOUS Label: Good student
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
539
MANNERSY Label: Good manners-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
540
SUCCESSY Label: Tries hard to succeed-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
541
HONESTY Label: Honest-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
542
CLEANY Label: Neat and clean-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
543
JUDGMENY Label: Good sense, sound judgment-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
544
CONTROLY Label: Self-control-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
545
ROLEY Label: Acts like boy-acts like girl-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
546
AMICABLY Label: Gets along with other children-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
547
OBEYSY Label: Obeys parents well-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
548
RESPONSY Label: Responsible-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
549
CONSIDEY Label: Considerate of others-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
550
INTERESY Label: Interested how things happen-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
551
STUDIOUY Label: Good student-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 MOST DESIRABLE
2 3 MOST DESIRABLE
3 NOT MENTIONED
4 3 LEAST DESIRABLE
5 1 LEAST DESIRABLE
8 DK
9 NA
552
MANNERSZ Label: Good manners-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
553
SUCCESSZ Label: Tries hard to succeed-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
554
HONESTZ Label: Honest-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
555
CLEANZ Label: Neat and clean-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
556
JUDGMENZ Label: Good sense, sound judgment-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
557
CONTROLZ Label: Self-control-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
558
ROLEZ Label: Acts like boy-acts like girl-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
559
AMICABLZ Label: Gets along with other children-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
560
OBEYSZ Label: Obeys parents well-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
561
RESPONSZ Label: Responsible-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
562
CONSIDEZ Label: Considerate of others-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
563
INTERESZ Label: Interested how things happen-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
564
STUDIOUZ Label: Good student-Version Z
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPT
2 VERY IMPT
3 FAIRLY IMPT
4 NOT TOO IMPT
5 NOT AT ALL IMPT
8 DK
9 NA
565
OBEY Label: To obey
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT
2 2ND IMPORTANT
3 3RD IMPORTANT
4 4TH IMPORTANT
5 LEAST IMPORTANT
8 DK
9 NA
566
POPULAR Label: To be well liked or popular
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT
2 2ND IMPORTANT
3 3RD IMPORTANT
4 4TH IMPORTANT
5 LEAST IMPORTANT
8 DK
9 NA
567
THNKSELF Label: To think for ones self
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT
2 2ND IMPORTANT
3 3RD IMPORTANT
4 4TH IMPORTANT
5 LEAST IMPORTANT
8 DK
9 NA
568
WORKHARD Label: To work hard
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT
2 2ND IMPORTANT
3 3RD IMPORTANT
4 4TH IMPORTANT
5 LEAST IMPORTANT
8 DK
9 NA
569
HELPOTH Label: To help others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT
2 2ND IMPORTANT
3 3RD IMPORTANT
4 4TH IMPORTANT
5 LEAST IMPORTANT
8 DK
9 NA
570
CHLDSEX Label: Qualities for boys or girls
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOSTLY BOYS
2 MOSTLY GIRLS
3 BOTH EQUALLY
8 DK
9 NA
571
CHLDSEX1 Label: Qualities for boys or girls:variant
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOSTLY BOYS
2 MOSTLY GIRLS
3 BOTH EQUALLY
8 DK
9 NA
572
YOUNGEN Label: What should younger generation be taught
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WHAT ELDERS THINK
2 THINK FOR SELVES
8 DK
9 NA
573
SOCREL Label: Spend evening with relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
-1
0 IAP
1 ALMOST DAILY
2 SEV TIMES A WEEK
3 SEV TIMES A MNTH
4 ONCE A MONTH
5 SEV TIMES A YEAR
6 ONCE A YEAR
7 NEVER
8 DK
9 NA
574
SOCOMMUN Label: Spend evening with neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
-1
0 IAP
1 ALMOST DAILY
2 SEV TIMES A WEEK
3 SEV TIMES A MNTH
4 ONCE A MONTH
5 SEV TIMES A YEAR
6 ONCE A YEAR
7 NEVER
8 DK
9 NA
575
SOCFREND Label: Spend evening with friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
-1
0 IAP
1 ALMOST DAILY
2 SEV TIMES A WEEK
3 SEV TIMES A MNTH
4 ONCE A MONTH
5 SEV TIMES A YEAR
6 ONCE A YEAR
7 NEVER
8 DK
9 NA
576
SOCBAR Label: Spend evening at bar
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
-1
0 IAP
1 ALMOST DAILY
2 SEV TIMES A WEEK
3 SEV TIMES A MNTH
4 ONCE A MONTH
5 SEV TIMES A YEAR
6 ONCE A YEAR
7 NEVER
8 DK
9 NA
577
SOCPARS Label: Spend evening with parents
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO SUCH PEOPLE
1 ALMOST DAILY
2 SEV TIMES A WEEK
3 SEV TIMES A MNTH
4 ONCE A MONTH
5 SEV TIMES A YEAR
6 ONCE A YEAR
7 NEVER
8 DK
9 NA
578
SOCSIBS Label: Spend evening with siblings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO SUCH PEOPLE
1 ALMOST DAILY
2 SEV TIMES A WEEK
3 SEV TIMES A MNTH
4 ONCE A MONTH
5 SEV TIMES A YEAR
6 ONCE A YEAR
7 NEVER
8 DK
9 NA
579
AGED Label: Should aged live with their children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GOOD IDEA
2 A BAD IDEA
3 DEPENDS
8 DK
9 NA
580
AGEDPAR Label: Should aged live with their children
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A good idea
2 A bad idea
3 It depends
8 Don't know
9 No Answer
581
AGEDCHLD Label: Should grown children live with parents
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A good idea
2 A bad idea
3 It depends
8 Don't know
9 No Answer
582
WEEKSWRK Label: Weeks R worked last year
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
583
PARTFULL Label: Was R's work part-time or full-time?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL-TIME
2 PART-TIME
8 DK
9 NA
584
DRINK Label: Ever drink alcoholic beverages?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
585
DRUNK Label: Ever drink too much?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
586
SMOKE Label: Does R smoke
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
587
QUITSMK Label: Ever tried to quit smoking
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
588
SMOKECIG Label: Does R smoke cigarettes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
589
CIGWEEK Label: Has R smoked cigarettes in last week
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
590
EVSMOKE Label: Has R ever smoked
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
591
ANOMIA1 Label: Next to health, money is most important
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
592
ANOMIA2 Label: Wonder if anything is worthwhile
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
593
ANOMIA3 Label: No right & wrong ways to make money
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
594
ANOMIA4 Label: Live only for today
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
595
ANOMIA5 Label: Lot of the average man getting worse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
596
ANOMIA6 Label: Not fair to bring child into world
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
597
ANOMIA7 Label: Officials not interested in average man
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
598
ANOMIA8 Label: Don't know whom to trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
599
ANOMIA9 Label: Most don't care what happens to others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
600
JOBLOSE Label: Is R likely to lose job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 FAIRLY LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY
5 LEAVING LABOR FORCE
8 DK
9 NA
601
JOBFIND Label: Could R find equally good job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY EASY
2 SOMEWHAT EASY
3 NOT EASY
8 DK
9 NA
602
SATJOB Label: Work satisfaction
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SATISFIED
2 MOD. SATISFIED
3 A LITTLE DISSAT
4 VERY DISSATISFIED
8 DK
9 NA
603
SATJOBHV Label: Job satisfaction
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very satisfied
2 Moderately satisfied
3 A little dissatisfied
4 Very dissatisfied
8 Don't know
9 No Answer
604
RICHWORK Label: If rich, continue or stop working
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CONTINUE WORKING
2 STOP WORKING
8 DK
9 NA
605
JOBINC Label: High income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPT
2 SECOND
3 THIRD
4 FOURTH
5 FIFTH
8 DK
9 NA
606
JOBSEC Label: No danger of being fired
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPT
2 SECOND
3 THIRD
4 FOURTH
5 FIFTH
8 DK
9 NA
607
JOBHOUR Label: Short working hours
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPT
2 SECOND
3 THIRD
4 FOURTH
5 FIFTH
8 DK
9 NA
608
JOBPROMO Label: Chances for advancement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPT
2 SECOND
3 THIRD
4 FOURTH
5 FIFTH
8 DK
9 NA
609
JOBMEANS Label: Work important and feel accomplishment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPT
2 SECOND
3 THIRD
4 FOURTH
5 FIFTH
8 DK
9 NA
610
JOBKEEP Label: Job security
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
611
JOBPAY Label: High income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
612
JOBRISE Label: Opportunity for advancement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
613
JOBHONOR Label: Occupation is recognized and respected
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
614
JOBOFF Label: Leaves time for leisure
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
615
JOBINTER Label: Interesting work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
616
JOBINDEP Label: Allows one to work independently
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
617
JOBRESP Label: Responsible job tasks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
618
JOBPEOP Label: Contact with other people
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
619
JOBHELP Label: Can help others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
620
JOBSOC Label: Useful to society
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
621
JOBACCMP Label: Doing something meaningful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
622
JOBSAFE Label: Safe conditions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
623
CLASS Label: Subjective class identification
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LOWER CLASS
2 WORKING CLASS
3 MIDDLE CLASS
4 UPPER CLASS
5 NO CLASS
8 DK
9 NA
624
CLASSY Label: Subjective social class-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LOWER CLASS
2 WORKING CLASS
3 MIDDLE CLASS
4 UPPER MIDDLE CLASS
5 UPPER CLASS
8 DK
9 NA
625
RANK Label: R's self ranking of social position
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 TOP
10 BOTTOM
98 DK
99 NA
626
RANK10 Label: R's social rank 10 years ago
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
627
SATFIN Label: Satisfaction with financial situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SATISFIED
2 MORE OR LESS
3 NOT AT ALL SAT
8 DK
9 NA
628
FINALTER Label: Change in financial situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER
2 WORSE
3 STAYED SAME
8 DK
9 NA
629
FINRELA Label: Opinion of family income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAR BELOW AVERAGE
2 BELOW AVERAGE
3 AVERAGE
4 ABOVE AVERAGE
5 FAR ABOVE AVERAGE
8 DK
9 NA
630
INCNEED Label: Income family needs
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99997 DEPENDS
99998 DK
99999 NA
999997 DEPENDS
999998 DK
999999 NA
631
MININC Label: Minimum amount of income needed per week
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
997 $997+ PER WEEK
998 DK
999 NA
632
WKSUB Label: Does R or spouse have supervisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
633
WKSUBS Label: Does supervisor have supervisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
3 YES
4 NO
8 DK
9 NA
634
WKSUB1 Label: Does R or spouse or partneR have a supervisor
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
635
WKSUBS1 Label: Does supervisor have supervisor
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
3 YES
4 NO
8 DK
9 NA
636
WKSUP Label: Does R or spouse supervise anyone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
637
WKSUPS Label: Does subordinate supervise anyone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
3 YES
4 NO
8 DK
9 NA
638
WKSUP1 Label: Does R or spouse or partner supervise anyone
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
639
WKSUPS1 Label: Does subordinant supervise anyone
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
3 YES
4 NO
8 DK
9 NA
640
UNEMP Label: Ever unemployed in last ten yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
641
GOVAID Label: Ever receive welfare, unemp insur, etc.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
642
GETAID Label: Ever received welfare?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
643
UNION Label: Does R or spouse belong to union
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 R BELONGS
2 SPOUSE BELONGS
3 R AND SPOUSE BELONG
4 NEITHER BELONGS
8 DK
9 NA
644
UNION1 Label: Does R or spouse or partner belong to union
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 R BELONGS
2 SPOUSE OR PARTNER BELONGS
3 R AND SPOUSE OR PARTNER BELONG
4 NEITHER BELONGS
8 DK
9 NA
645
GETAHEAD Label: Opinion of how people get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARD WORK
2 BOTH EQUALLY
3 LUCK OR HELP
4 OTHER
8 DK
9 NA
646
PARSOL Label: R's living standard compared to parents
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 SOMEWHAT BETTER
3 ABOUT THE SAME
4 SOMEWHAT WORSE
5 MUCH WORSE
8 DK
9 NA
647
KIDSSOL Label: R's kids living standard compared to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 SOMEWHAT BETTER
3 ABOUT THE SAME
4 SOMEWHAT WORSE
5 MUCH WORSE
6 NO CHILDREN -VOLUNTEERED-
8 DK
9 NA
648
FEHOME Label: Women take care of home not country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 NOT SURE
9 NA
649
FEWORK Label: Should women work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 APPROVE
2 DISAPPROVE
8 DK
9 NA
650
FEPRES Label: Vote for woman president
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
5 WOULDNT VOTE
8 DK
9 NA
651
FEPOL Label: Women not suited for politics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 NOT SURE
9 NA
652
FEPOLY Label: Men or women better suited for politics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MEN
2 EQUAL
3 WOMEN
8 DK
9 NA
653
FEIMP Label: Importance of women's rights issue to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMP AT ALL
8 DK
9 NA
654
FEINFO Label: How much info R has on women's rgts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
655
FEFIRM Label: How firm Is R's opinion on women's rghts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
656
FECARE Label: R's concern about women's rights
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CONCERNED
2 SOMEWHAT CONCERNED
3 NOT VERY CONCERNED
4 NOT CONCERNED AT ALL
8 DK
9 NA
657
FETHINK Label: How oft R & frnds think abt women's rgts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 FAIRLY OFTEN
3 OCCASIONALLY
4 ALMOST NEVER
8 DK
9 NA
658
FEWRITE Label: R ever written official abt women's rgts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
659
FEGIVE Label: Has R given money to women's rights orgs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
660
FEJOIN Label: Ever joined org working on women's rgts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
661
ABDEFECT Label: Strong chance of serious defect
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
662
ABNOMORE Label: Married--wants no more children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
663
ABHLTH Label: Woman's health seriously endangered
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
664
ABPOOR Label: Low income--cant afford more children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
665
ABRAPE Label: Pregnant as result of rape
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
666
ABSINGLE Label: Not married
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
667
ABANY Label: Abortion if woman wants for any reason
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
668
ABORCT Label: Heard supreme court decision on abortion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
669
ABPRO1 Label: 1st argument for abortion
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
96 None
99 NA
670
ABPRO2 Label: 2nd argument for abortion
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
99 NA
671
ABPRO3 Label: 3rd argument for abortion
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
99 NA
672
ABCON1 Label: 1st argument against abortion
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
96 None
99 NA
673
ABCON2 Label: 2nd argument against abortion
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
99 NA
674
ABCON3 Label: 3rd argument against abortion
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
99 NA
675
ABIMP Label: Importance of abortion issue to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMP AT ALL
8 DK
9 NA
676
ABINFO Label: How much info does R have on abortion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
677
ABFIRM Label: How firm is R's opinion on abortion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
678
ABCARE Label: How concerned is R about abortion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CONCERNED
2 SOMEWHAT CONCERNED
3 NOT VERY CONCERNED
4 NOT CONCERNED AT ALL
8 DK
9 NA
679
CHLDIDEL Label: Ideal number of children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
7 SEVEN+
8 AS MANY AS WANT
9 DK,NA
680
CHLDMORE Label: Expect more children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 UNCERTAIN
4 INAPPROPRIATE
9 NA
681
CHLDNUM Label: How many children expected
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
8 8 OR MORE
9 DK,NA
682
CHLDSOON Label: Children expected in 5 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
683
PILL Label: Birth control information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AVAILABLE
2 NOT AVAILABLE
8 DK
9 NA
684
TEENPILL Label: Birth control information to teens
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AVAILABLE
2 NOT AVAILABLE
3 DEPENDS ON AGE
8 DK
9 NA
685
PILLOK Label: Birth control to teenagers 14-16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
686
SEXEDUC Label: Sex education in public schools
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
3 DEPENDS
8 DK
9 NA
687
DIVLAW Label: Divorce laws
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EASIER
2 MORE DIFFICULT
3 STAY SAME
8 DK
9 NA
688
DIVLAWY Label: Divorce laws-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EASIER
2 MORE DIFFICULT
3 STAY SAME
8 DK
9 NA
689
SPDUE Label: Ever entitled to alimony or chld support
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
690
SPPAID Label: Regularly received alimony - chld supprt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REGULAR BASIS
2 OCCASIONALLY
3 NOT AT ALL
8 DK
9 NA
691
PREMARSX Label: Sex before marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMST ALWAYS WRG
3 SOMETIMES WRONG
4 NOT WRONG AT ALL
5 OTHER
8 DK
9 NA
692
TEENSEX Label: Sex before marriage:teens 14-16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMST ALWAYS WRG
3 SOMETIMES WRONG
4 NOT WRONG AT ALL
5 OTHER
8 DK
9 NA
693
XMARSEX Label: Sex with person other than spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMST ALWAYS WRG
3 SOMETIMES WRONG
4 NOT WRONG AT ALL
5 OTHER
8 DK
9 NA
694
HOMOSEX Label: Homosexual sex relations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMST ALWAYS WRG
3 SOMETIMES WRONG
4 NOT WRONG AT ALL
5 OTHER
8 DK
9 NA
695
HOMOCHNG Label: Homosexuality: inherent or choice?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SOMETHING PEOPLE CHOOSE TO BE
2 SOMETHING THEY CANNOT CHANGE
8 DK
9 NA
696
PORNINF Label: Materials provide info about sex
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
697
PORNMORL Label: Materials lead to breakdown in morals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
698
PORNRAPE Label: Materials lead to rape
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
699
PORNOUT Label: Materials provide outlet
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
700
PORNLAW Label: Feelings about pornography laws
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ILLEGAL TO ALL
2 ILLEGAL UNDER 18
3 LEGAL
8 DK
9 NA
701
XMOVIE Label: Seen x-rated movie in last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
702
XMOVIE1 Label: Seen porn film (theater or vcr) last yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
703
PORNIMP Label: Importance of pornography issue to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMP AT ALL
8 DK
9 NA
704
PORNINFO Label: How much info Does R have on porn issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
705
PORNFIRM Label: How firm Is R's opinion on porn issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
706
SPANKING Label: Favor spanking to discipline child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
707
LETDIE1 Label: Allow incurable patients to die
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
708
LETDIE2 Label: Let patients die if doctors agree
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
709
SUICIDE1 Label: Suicide if incurable disease
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
710
SUICIDE2 Label: Suicide if bankrupt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
711
SUICIDE3 Label: Suicide if dishonored family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
712
SUICIDE4 Label: Suicide if tired of living
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
713
SUINUM Label: People R knows suicide over lifetime
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-3 NA
-2 DON'T KNOW
-1 IAP
95 1 or more, number unknown
98 DK
99 NA
714
SUINUM1 Label: People R knows suicide over lifetime
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Two or more people
2 One person
3 No people
8 DK
9 NA
715
SUIREL1 Label: R's relationship to closest suicide
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Husband or wife
2 Partner or lover
3 Son or daughter
4 Mother or father
5 Brother or sister
6 Step-brother or step-sister
7 Step-parent
8 Step-son or step-daughter
9 Cousin
10 Other relative
11 Friend
12 Neighbor
13 Co-worker
14 Patient
15 Acquaintance
16 Ex-spouse or ex-partner
17
18 Classmate
19 Relative of a friend
20 Student
21 Friend of a friend
30 Other
98 DK
99 NA
716
SUINEG1 Label: Did closest suicide negatively impact you
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, greatly
2 Yes, to some extent
3 Yes, but not much
4 No
5 Not sure
8 DK
9 NA
717
SUICLSE1 Label: How close were you to closest suicide victim
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not close at all
2 3
3 3.
4 5 Very close
5 5. Very close
8 DK
9 NA
718
SUITIME1 Label: How many years and months since closest suicide
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RESPONDENT PROVIDES NUMBER OF MONTHS OR YEARS
2 RESPONDENT PROVIDES VERBATIM RESPONSE UNCODEABLE IN MONTHS/YEARS
8 DK
9 NA
719
SUIMTHS1 Label: How many months since closest suicide
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 No month given
98 DK
99 NA
720
SUIYRS1 Label: How many years since closest suicide
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
721
SUIREL2 Label: R's relationship to 2nd closest suicide
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Husband or wife
2 Partner or lover
3 Son or daughter
4 Mother or father
5 Brother or sister
6 Step-brother or step-sister
7 Step-parent
8 Step-son or step-daughter
9 Cousin
10 Other relative
11 Friend
12 Neighbor
13 Co-worker
14 Patient
15 Acquaintance
16 Ex-spouse or ex-partner
17
18 Classmate
19 Relative of a friend
20 Student
21 Friend of a friend
30 Other
98 DK
99 NA
722
SUINEG2 Label: Did 2nd closest suicide negatively impact you
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, greatly
2 Yes, to some extent
3 Yes, but not much
4 No
5 Not sure
8 DK
9 NA
723
SUICLSE2 Label: How close wereyou to 2nd closest suicide victim
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not close at all
2 3
3 3.
4 5 Very close
5 5. Very close
8 DK
9 NA
724
SUITIME2 Label: How many years and months since 2nd closest suicide
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RESPONDENT PROVIDES NUMBER OF MONTHS OR YEARS
2 RESPONDENT PROVIDES VERBATIM RESPONSE UNCODEABLE IN MONTHS/YEARS
8 DK
9 NA
725
SUIMTHS2 Label: How many months since 2nd closest suicide
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 No month given
98 DK
99 NA
726
SUIYRS2 Label: How many years since 2nd closest suicide
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
727
STRIKE Label: Picketing for labor strike
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
728
CIVRIGHT Label: Civil rights demonstration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
729
ANTIWAR Label: Anti-war demonstration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
730
PROWAR Label: Pro-war demonstration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
731
SCHOOL Label: School related demonstration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
732
HIT Label: Ever punched or beaten by another person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
733
HITAGE Label: Beaten as child or adult
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHILD
2 ADULT
3 BOTH
8 DK
9 NA
734
HITNUM Label: If beaten--how many times
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONCE
2 2-3 TIMES
3 4+ TIMES
8 NOT SURE
9 NA
735
GUN Label: Ever threatened with gun or shot at
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
736
GUNAGE Label: Threatened or shot at as child or adult
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHILD
2 ADULT
3 BOTH
8 DK
9 NA
737
GUNNUM Label: If threatened or shot at--how many times
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONCE
2 2-3 TIMES
3 4+ TIMES
8 NOT SURE
9 NA
738
HITOK Label: Ever approve of man punching adult male
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
739
HITMARCH Label: Stranger in protest march
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
740
HITDRUNK Label: Drunk bumped into man & wife
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
741
HITCHILD Label: Stranger had hit mans child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
742
HITBEATR Label: Stranger was beating up a woman
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
743
HITROBBR Label: Stranger had broken into mans house
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
744
POLHITOK Label: Ever approve of police striking citizen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
745
POLABUSE Label: Citizen said vulgar or obscene things
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
746
POLMURDR Label: Citizen questioned as murder suspect
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
747
POLESCAP Label: Citizen attempting to escape custody
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
748
POLATTAK Label: Citizen attacking policeman with fists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
749
FEAR Label: Afraid to walk at night in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
750
FEARHOME Label: Does R feel safe and secure at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
751
BURGLR Label: Home broken into during the last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
752
ROBBRY Label: Forcefully robbed during the last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
753
OWNGUN Label: Have gun in home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 REFUSED
8 DK
9 NA
754
PISTOL Label: Pistol or revolver in home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 REFUSED
8 DK
9 NA
755
SHOTGUN Label: Shotgun in home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 REFUSED
8 DK
9 NA
756
RIFLE Label: Rifle in home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 REFUSED
8 DK
9 NA
757
ROWNGUN Label: Does gun belong to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 REFUSED
8 DK
9 NA
758
TICKET Label: Ever received a traffic ticket
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 REFUSED
8 DK
9 NA
759
ARREST Label: Ever picked up or charged by police
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 REFUSED
8 DK
9 NA
760
CONVICTD Label: Convicted of crime ever
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
761
LOCKEDUP Label: Prison or jail ever
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
762
HUNT Label: Does R or spouse hunt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RESP
2 SPOUSE
3 BOTH
4 NEITHER
8 DK
9 NA
763
HUNT1 Label: Does R or spouse or partner hunt
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RESPONDENT HUNTS
2 SPOUSE OR PARTNER HUNTS
3 BOTH HUNT
4 NEITHER HUNTS
8 DK
9 NA
764
HUNTOTHR Label: Does other household member hunt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
765
NEWS Label: How often Does R read newspaper
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EVERYDAY
2 FEW TIMES A WEEK
3 ONCE A WEEK
4 LESS THAN ONCE WK
5 NEVER
8 DK
9 NA
766
TVHOURS Label: Hours per day watching TV
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
767
RADIOHRS Label: Hours per day listening to radio
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
768
PHONE Label: Does R have telephone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO PHONE
2 REFUSED
3 PHONE IN HOME
4 PHONE ELSEWHERE
5 PHONE,DK WHERE
6 CELLPHONE
9 NA
769
COOP2 Label: R's attitude toward interview
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FRIENDLY AND EAGER
2 COOPERATIVE
3 INDIFFERENT
4 HOSTILE
8 DK
9 NA
770
COOP Label: R's attitude toward interview
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FRIENDLY,INTERESTED
2 COOPERATIVE
3 RESTLESS,IMPATIENT
4 HOSTILE
8 DK
9 NA
771
COMPREND Label: R's understanding of questions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
1 GOOD
2 FAIR
3 POOR
8 DK
9 NA
772
FORM Label: Form of split questionnaire asked
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 NO SPLIT QUES
1 STANDARD <X>
2 ALTERNATE <Y>
3 ALTERNATE <Z>
773
ABSPNO Label: Abortion if husband opposes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
774
ABHAVE1 Label: Have abortion if probable defect
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
775
ABHAVE2 Label: Have abortion if health endangered
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
776
ABHAVE3 Label: Have abortion if couldn't afford child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
777
ABLEGAL Label: Should abortion ever be legal
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 SOMETIMES
3 NEVER
8 DK
9 NA
778
FECHLD Label: Mother working doesn't hurt children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
779
FEHELP Label: Wife should help husbands career first
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
780
FEPRESCH Label: Preschool kids suffer if mother works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
781
FEFAM Label: Better for man to work, woman tend home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
782
ERAREAD Label: Has R heard or read about era
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
783
ERAMEANS Label: Does R understand what era means
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
784
ERA Label: Does R favor or oppose era?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 OPPOSE
4 STRONGLY OPPOSE
8 DK
9 NA
785
ERATELL Label: Does R favor or oppose era
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 SOMEWHAT FAVOR
3 SOMEWHT OPPOSE
4 STRONGLY OPPOSE
8 DK
9 NA
786
ERAWHY1 Label: 1st reason favor-oppose era
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
99 NA
787
ERAWHY2 Label: 2nd reason favor-oppose era
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
99 NA
788
ERAWHY3 Label: 3rd reason favor-oppose era
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
99 NA
789
ERAIMP Label: Importance of era issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMP
2 IMPORTANT
3 NOT VERY IMP
4 NOT IMPORTANT
8 DK
9 NA
790
ERAINFO Label: How much info does R have about era
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL INFO R NEEDS
2 MOST OF THE INFO
3 SOME INFO
4 VERY LITTLE INFO
8 DK
9 NA
791
ERAFIRM Label: How firm is R's opinion on era
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHANGE VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 CHANGE VERY UNLIKELY
8 DK
9 NA
792
FEBEAR Label: Can wife refuse to have children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
793
FEWORKIF Label: Married women work if jobs limited
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 APPROVE
2 DISAPPROVE
8 DK
9 NA
794
RACSUBS Label: Favor attempts to integrate suburbs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
8 DK
9 NA
795
RACSUBGV Label: Suburban govts encourage integration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ENCOURAGE
2 DISCOURAGE
3 LEAVE ALONE
8 DK
9 NA
796
RACMAREL Label: What if relative married other race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY UNEASY
2 SOMEWHAT UNEASY
3 NOT UNEASY
8 DK
9 NA
797
RACMARPR Label: Expect probs in interracial marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
798
RACSUPS Label: Expect probs if blacks supervise whites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
799
RACTEACH Label: Don't hire teachers against integration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
800
RACAVOID Label: Avoid driving thru black neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
801
RACCHNG Label: Try to integrate social club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 WDNT BELONG
8 DK
9 NA
802
RACQUIT Label: Quit if couldn't integrate club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
803
RACDIF1 Label: Differences due to discrimination
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
804
RACDIF2 Label: Differences due to inborn disability
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
805
RACDIF3 Label: Differences due to lack of education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
806
RACDIF4 Label: Differences due to lack of will
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
807
SALFERGT Label: Salience, women's rights
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
808
SALLABOR Label: Salience, labor leaders
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
809
SALSATFN Label: Salience, financial satisfaction
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
810
SALABORT Label: Salience, abortion laws
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
811
SALSCI Label: Salience, scientific community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
812
DIVORCE5 Label: Divorced in last 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NONE
1 PRIOR 4 YEARS
2 LAST YEAR
3 BOTH
9 NA
813
DIVREL1 Label: Relatives divorced in last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
814
DIVREL4 Label: Relatives divorced between 5 & 1 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
815
UNEMP5 Label: Unemployed in last 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NO
1 4 PRIOR YRS
2 4 PRIOR YRS, EARNER
3 LAST YR
4 BOTH,NOT EARNER
5 BOTH,EARNER PRIOR 4
6 LAST YR, EARNER
7 BOTH,EARNER LAST YR
8 BOTH,EARNER BOTH
9 NA
816
UNREL1 Label: Relatives unemployed in last yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
817
UNREL4 Label: Relatives unemp between 5 & 1 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
818
HOSDIS5 Label: Hospitalized, disabled last 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NONE
1 PRIOR 4 YEARS
2 LAST YEAR
3 BOTH
9 NA
819
HOSREL1 Label: Rels hospitalized in last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
820
HOSREL4 Label: Rels hospitalized betw 5 & 1 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
821
DEATH5 Label: Relatives died in last 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NONE
1 1 IN PRIOR 4 YRS
2 2+ IN PRIOR 4 YRS
3 1 LAST YR
4 1 LAST,1 IN PRIOR 4
5 1 IN LAST,2+ PRIOR 4
6 2+ LAST YR
7 2+ LAST, 1 PRIOR 4
8 2+ LAST, 2+ PRIOR 4
9 NA
822
DEATH16 Label: Relatives died since age 16
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
823
PADEATH Label: Death of father
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO DEATH REPORTED
1 DIED BEFORE R 16
2 DIED 6+ YRS AGO
3 DIED 1-5 YRS AGO
4 DIED LAST YEAR
8 CANT TELL
9 NA
824
MADEATH Label: Death of mother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO DEATH REPORTED
1 DIED BEFORE R 16
2 DIED 6+ YRS AGO
3 DIED 1-5 YRS AGO
4 DIED LAST YEAR
8 CANT TELL
9 NA
825
CHLDDTH Label: Death of child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NO DEATH REPORTED
1 DIED 6+ YRS AGO
2 DIED 1-5 YRS AGO
3 DIED LAST YEAR
9 NA
826
SIBDEATH Label: Death of sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NO DEATH REPORTED
1 DIED 6+ YRS AGO
2 DIED 1-5 YRS AGO
3 DIED LAST YEAR
9 NA
827
SPDEATH Label: Death of spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NO DEATH REPORTED
1 DIED 6+ YRS AGO
2 DIED 1-5 YRS AGO
3 DIED LAST YEAR
9 NA
828
TRAUMA1 Label: Trauma scale, last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
9 NA
829
TRAUMA5 Label: Trauma scale, last 5 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
9 NA
830
TRAREL1 Label: Trauma of relatives, last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
9 NA
831
TRAREL5 Label: Trauma of relatives, last 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
9 NA
832
TRATOT1 Label: Trauma last year, self & relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
9 NA
833
TRATOT5 Label: Trauma last 5 yrs, self & relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
9 NA
834
DEFSPDR Label: Defense spending--R's position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 HAVENT THOUGHT MUCH
1 GREATLY DECREASE
7 GREATLY INCREASE
8 DK
9 NA
835
DEFSPDFG Label: Defense spending--govt position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 HAVENT THOUGHT MUCH
1 GREATLY DECREASE
7 GREATLY INCREASE
8 DK
9 NA
836
HLPMINR Label: Help minorities--R's position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 HAVENT THOUGHT MUCH
1 GOVT HELP
7 HELP SELVES
8 DK
9 NA
837
HLPMINFG Label: Help minorities--govt position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 HAVENT THOUGHT MUCH
1 GOVT HELP
7 HELP SELVES
8 DK
9 NA
838
CUTSPDR Label: Cut govt spending--R's position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 HAVENT THOUGHT MUCH
1 CUT SPENDING
7 MAINTAIN SERVICES
8 DK
9 NA
839
CUTSPDFG Label: Cut govt spending--govt position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 HAVENT THOUGHT MUCH
1 CUT SPENDING
7 MAINTAIN SERVICES
8 DK
9 NA
840
IMPFAM Label: Family and children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
841
IMPWORK Label: Career and work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
842
IMPRELAX Label: Free time and relaxation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
843
IMPFREND Label: Friends and acquaintances
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
844
IMPKIN Label: Relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
845
IMPCHURH Label: Religion and church
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
846
IMPPOL Label: Politics and public life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNIMPORTANT
7 VERY IMPORTANT
8 DK
9 NA
847
PRIVACY Label: Is R concerned about privacy?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CONCERNED
2 SOMEWHAT
3 ONLY A LITTLE
4 NOT CONCERNED
8 DK
9 NA
848
CIVIC Label: Does R follow public affairs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST OF THE TIME
2 SOME OF THE TIME
3 NOW AND THEN
4 HARDLY AT ALL
8 DK
9 NA
849
RUSHED Label: How often R feels rushed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 SOMETIMES
3 ALMOST NEVER
8 DK
9 NA
850
BORED Label: How often Does R have extra time
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 QUITE OFTEN
2 NOW AND THEN
3 ALMOST NEVER
8 DK
9 NA
851
STRESSWK Label: Stress at work in past 2 wks
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A lot of stress
2 A moderate amount of stress
3 Relatively little stress
4 Almost no stress at all
8 DK
9 NA
852
POLLGOOD Label: Do surveys serve good purpose
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOOD PURPOSE
2 DEPENDS
3 WASTE OF TIME AND $
8 DK
9 NA
853
POLLTRUE Label: Trust results of surveys
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 HARDLY EVER
8 DK
9 NA
854
FESERVE Label: Mandatory conscription for females?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 PROBABLY FAVOR
3 PROBABLY OPPOSE
4 STRONGLY OPPOSE
8 DK
9 NA
855
MESERVE Label: Mandatory conscription for males?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 PROBABLY FAVOR
3 PROBABLY OPPOSE
4 STRONGLY OPPOSE
8 DK
9 NA
856
TAXSERVE Label: Favor conscription given taxes?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 PROBABLY FAVOR
3 PROBABLY OPPOSE
4 STRONGLY OPPOSE
8 DK
9 NA
857
MILQUAL Label: Quality of persons in military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 GOOD
3 NOT SO GOOD
4 POOR
8 DK
9 NA
858
MILPAY Label: Pay and benefits for military personnel
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD BE LARGER
2 ABOUT RIGHT
3 SHOULD BE SMALLER
8 DK
9 NA
859
FENUMOK Label: Number of women in military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MANY
2 ABOUT RIGHT NUMBER
3 SHOULD BE MORE
8 DK
9 NA
860
HINUMOK Label: Number of Hispanics in military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MANY
2 ABOUT RIGHT NUMBER
3 SHOULD BE MORE
8 DK
9 NA
861
BLNUMOK Label: Number of blacks in military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MANY
2 ABOUT RIGHT NUMBER
3 SHOULD BE MORE
8 DK
9 NA
862
HINUMOKY Label: Number Hispanics in military-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MANY
2 ABOUT RIGHT NUMBER
3 SHOULD BE MORE
8 DK
9 NA
863
BLNUMOKY Label: Number of blacks in military-Version Y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MANY
2 ABOUT RIGHT NUMBER
3 SHOULD BE MORE
8 DK
9 NA
864
MILVOLOK Label: How well has volunteer military worked?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WELL
2 FAIRLY WELL
3 NOT WELL
8 DK
9 NA
865
FIGHTAIR Label: Women as jet fighter pilots
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
866
MECHANIC Label: Women as truck mechanic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
867
NURSE Label: Women as nurses in combat zone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
868
TYPIST Label: Women as typist in pentagon
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
869
BRASS Label: Women in command of military bases
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
870
FIGHTLND Label: Women in hand-to-hand combat
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
871
TRANSAIR Label: Women as jet transport pilot
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
872
GUNNER Label: Women as air defense gunner in U.S.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
873
FIGHTSEA Label: Women as crew member of combat ship
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
874
FEFIGHT Label: Are women assigned to combat
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, THEY ARE
2 NO THEY ARENT
8 DK
9 NA
875
FEDIRTY Label: Are women assigned to dirty jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, THEY ARE
2 NO THEY ARENT
8 DK
9 NA
876
FEBRASS Label: Do women command over men
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, THEY ARE
2 NO THEY ARENT
8 DK
9 NA
877
FEHLPMIL Label: Do women raise effectiveness of military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RAISED EFFECTIVENESS
2 NO DIFFERENCE
3 LOWERED EFFCTIVENESS
8 DK
9 NA
878
DRAFT Label: Return to the draft?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DRAFT
2 VOLUNTEERS
8 DK
9 NA
879
DRAFTFE Label: If return to draft, draft women?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
880
DRAFTEM Label: If emergency, return to draft?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DRAFT
2 VOLUNTEERS
8 DK
9 NA
881
DRAFTFEM Label: If emergency, draft women also?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
882
DRAFTCOL Label: College students exempt from draft?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO, NOT EXEMPT
8 DK
9 NA
883
DRAFTMAR Label: Married persons exempt from draft?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO, NOT EXEMPT
8 DK
9 NA
884
DRAFTPAR Label: Parents of small chldrn exempt frm draft
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO, NOT EXEMPT
8 DK
9 NA
885
DRAFTGAY Label: Gays exempt from draft?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO, NOT EXEMPT
8 DK
9 NA
886
DRAFTCO Label: Conscientious objector exempt from draft
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO, NOT EXEMPT
8 DK
9 NA
887
DRAFTDEF Label: Defense occupations exempt from draft?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO, NOT EXEMPT
8 DK
9 NA
888
VETFAM Label: Family members served in armed forces?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
889
VETFAMNW Label: Any family members in armed forces now
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
890
MINMILOP Label: Min opportunities better in military?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MILITARY BETTER
2 CIVILIAN BETTER
3 NO DIFFERENCE
8 DK
9 NA
891
FEMILOP Label: Fem opportunities better in military?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MILITARY BETTER
2 CIVILIAN BETTER
3 NO DIFFERENCE
8 DK
9 NA
892
COPUNISH Label: Punish draft resister's?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
893
COJAIL Label: Jail draft resister's?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 APPROVE
2 DISAPPROVE
8 DK
9 NA
894
MILOKME Label: Military service good experience for men
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GOOD
2 PROBABLY GOOD
3 PROB NOT GOOD
4 DEF NOT GOOD
8 DK
9 NA
895
MILOKFE Label: Mil service good experience for women
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GOOD
2 PROBABLY GOOD
3 PROB NOT GOOD
4 DEF NOT GOOD
8 DK
9 NA
896
UPGRADE Label: Refuse vols with no basic skills?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REFUSE TO ACCEPT
2 ACCEPT & EDUCATE
8 DK
9 NA
897
JOBTRAIN Label: Obligation to train for civilian jobs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES,OBLIGATION
2 NOT OBLIGATION
8 DK
9 NA
898
NUKEWAR Label: Possibility of an all-out atomic war
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WONT HAPPEN
7 CERTAIN TO HAPPEN
8 DK
9 NA
899
LANDWAR Label: Possibility of a conventional ground war
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WONT HAPPEN
7 CERTAIN TO HAPPEN
8 DK
9 NA
900
MORENUKE Label: Possibility of increasing arms race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WONT HAPPEN
7 CERTAIN TO HAPPEN
8 DK
9 NA
901
LESSNUKE Label: Possibility of reducing atomic weapons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WONT HAPPEN
7 CERTAIN TO HAPPEN
8 DK
9 NA
902
NONUKE Label: Possibility eliminating atomic weapons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WONT HAPPEN
7 CERTAIN TO HAPPEN
8 DK
9 NA
903
GUERILLA Label: Possibility of guerilla wars
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WONT HAPPEN
7 CERTAIN TO HAPPEN
8 DK
9 NA
904
VETAID Label: Any in hh receive mil or vet benefits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
905
DEFWRKEV Label: Ever work for military supplier?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
906
DEFWRKNW Label: Currently work for military supplier?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
907
MILWRKEV Label: Ever work for military or dod?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
908
MILWRKNW Label: Currently work for military or DOD?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
909
RESDEFWK Label: Local economy depends on defense work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DEPENDENT
2 SOMEWHAT DEPENDENT
3 NOT AT ALL
8 DK
9 NA
910
OBVOTE Label: Obligation--voting in elections
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
911
OBVOL Label: Obligation--community service
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
912
OBJURY Label: Obligation--jury duty
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
913
OB911 Label: Obligation--reporting a crime
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
914
OBENG Label: Obligation--being able to speak English
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
915
OBKNOW Label: Obligation--keeping informed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
916
OBMEPAX Label: Obligation--peacetime mil service-men
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
917
OBMEWAR Label: Obligation--wartime mil service-men
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
918
OBFEPAX Label: Obligation--peacetime mil service-female
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
919
OBFEWAR Label: Obligation--wartime mil service-female
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT OBLIGATION
8 DK
9 NA
920
HELPPOOR Label: Should govt improve standard of living?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT ACTION
3 AGREE WITH BOTH
5 PEOPLE HELP SELVES
8 DK
9 NA
921
HELPNOT Label: Should govt do more or less?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT DO MORE
3 AGREE WITH BOTH
5 GOVT DOES TOO MUCH
8 DK
9 NA
922
HELPSICK Label: Should govt help pay for medical care?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT SHOULD HELP
3 AGREE WITH BOTH
5 PEOPLE HELP SELVES
8 DK
9 NA
923
HELPBLK Label: Should govt aid blacks?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT HELP BLKS
3 AGREE WITH BOTH
5 NO SPECIAL TREATMENT
8 DK
9 NA
924
NUMGIVEN Label: Number of persons mentioned
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
9 NA
925
EQCLOSE Label: R feels equally close to all persons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 YES
2 NO
7 REFUSED
8 DK
9 NA
926
RCLOSE1 Label: R feels especially close to person #1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 NOT ESP. CLOSE
7 REFUSED
8 DK
9 NA
927
RCLOSE2 Label: R feels especially close to person #2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 NOT ESP. CLOSE
7 REFUSED
8 DK
9 NA
928
RCLOSE3 Label: R feels especially close to person #3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 NOT ESP. CLOSE
7 REFUSED
8 DK
9 NA
929
RCLOSE4 Label: R feels especially close to person #4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 NOT ESP. CLOSE
7 REFUSED
8 DK
9 NA
930
RCLOSE5 Label: R feels especially close to person #5
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 NOT ESP. CLOSE
7 REFUSED
8 DK
9 NA
931
CLOSE12 Label: How close are persons number 1 and 2?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
932
CLOSE13 Label: How close are persons number 1 and 3?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
933
CLOSE14 Label: How close are persons number 1 and 4?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
934
CLOSE15 Label: How close are persons number 1 and 5?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
935
CLOSE23 Label: How close are persons number 2 and 3?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
936
CLOSE24 Label: How close are persons number 2 and 4?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
937
CLOSE25 Label: How close are persons number 2 and 5?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
938
CLOSE34 Label: How close are persons number 3 and 4?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
939
CLOSE35 Label: How close are persons number 3 and 5?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
940
CLOSE45 Label: How close are persons number 4 and 5?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ESPECIALLY CLOSE
2 KNOW EACH OTHER
3 TOTAL STRANGERS
7 REFUSED
8 DK
9 NA
941
SEX1 Label: Sex of person number 1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 MALE
2 FEMALE
7 REFUSED
8 DK
9 NA
942
SEX2 Label: Sex of person number 2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 MALE
2 FEMALE
7 REFUSED
8 DK
9 NA
943
SEX3 Label: Sex of person number 3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 MALE
2 FEMALE
7 REFUSED
8 DK
9 NA
944
SEX4 Label: Sex of person number 4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 MALE
2 FEMALE
7 REFUSED
8 DK
9 NA
945
SEX5 Label: Sex of person number 5
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 MALE
2 FEMALE
7 REFUSED
8 DK
9 NA
946
RACE1 Label: Race of person number 1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 OTHER
7 REFUSED
8 DK
9 NA
947
RACE2 Label: Race of person number 2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 OTHER
7 REFUSED
8 DK
9 NA
948
RACE3 Label: Race of person number 3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 OTHER
7 REFUSED
8 DK
9 NA
949
RACE4 Label: Race of person number 4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 OTHER
7 REFUSED
8 DK
9 NA
950
RACE5 Label: Race of person number 5
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7 THRU 9; 0
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 OTHER
7 REFUSED
8 DK
9 NA
951
SPOUSE1 Label: Person #1 is R's spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
952
SPOUSE2 Label: Person #2 is R's spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
953
SPOUSE3 Label: Person #3 is R's spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
954
SPOUSE4 Label: Person #4 is R's spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
955
SPOUSE5 Label: Person #5 is R's spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
956
PARENT1 Label: Person #1 is R's parent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
957
PARENT2 Label: Person #2 is R's parent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
958
PARENT3 Label: Person #3 is R's parent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
959
PARENT4 Label: Person #4 is R's parent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
960
PARENT5 Label: Person #5 is R's parent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
961
SIBLING1 Label: Person #1 is R's sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
962
SIBLING2 Label: Person #2 is R's sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
963
SIBLING3 Label: Person #3 is R's sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
964
SIBLING4 Label: Person #4 is R's sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
965
SIBLING5 Label: Person #5 is R's sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
966
CHILD1 Label: Person #1 is R's child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
967
CHILD2 Label: Person #2 is R's child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
968
CHILD3 Label: Person #3 is R's child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
969
CHILD4 Label: Person #4 is R's child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
970
CHILD5 Label: Person #5 is R's child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
971
OTHFAM1 Label: Person #1 is R's family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
972
OTHFAM2 Label: Person #2 is R's family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
973
OTHFAM3 Label: Person #3 is R's family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
974
OTHFAM4 Label: Person #4 is R's family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
975
OTHFAM5 Label: Person #5 is R's family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
976
COWORK1 Label: Person #1 is R's coworker
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
977
COWORK2 Label: Person #2 is R's coworker
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
978
COWORK3 Label: Person #3 is R's coworker
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
979
COWORK4 Label: Person #4 is R's coworker
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
980
COWORK5 Label: Person #5 is R's coworker
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
981
MEMGRP1 Label: Person #1 is member of R's group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
982
MEMGRP2 Label: Person #2 is member of R's group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
983
MEMGRP3 Label: Person #3 is member of R's group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
984
MEMGRP4 Label: Person #4 is member of R's group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
985
MEMGRP5 Label: Person #5 is member of R's group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
986
NEIGHBR1 Label: Person #1 is R's neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
987
NEIGHBR2 Label: Person #2 is R's neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
988
NEIGHBR3 Label: Person #3 is R's neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
989
NEIGHBR4 Label: Person #4 is R's neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
990
NEIGHBR5 Label: Person #5 is R's neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
991
FRIEND1 Label: Person #1 is R's friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
992
FRIEND2 Label: Person #2 is R's friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
993
FRIEND3 Label: Person #3 is R's friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
994
FRIEND4 Label: Person #4 is R's friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
995
FRIEND5 Label: Person #5 is R's friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
996
ADVISOR1 Label: Person #1 is R's advisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
997
ADVISOR2 Label: Person #2 is R's advisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
998
ADVISOR3 Label: Person #3 is R's advisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
999
ADVISOR4 Label: Person #4 is R's advisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
1000
ADVISOR5 Label: Person #5 is R's advisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
1001
OTHER1 Label: Person #1 is other type of acquaintance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
1002
OTHER2 Label: Person #2 is other type of acquaintance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
1003
OTHER3 Label: Person #3 is other type of acquaintance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
1004
OTHER4 Label: Person #4 is other type of acquaintance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
1005
OTHER5 Label: Person #5 is other type of acquaintance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DK
9 NA
1006
TALKTO1 Label: How often Does R talk to person #1?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 ONCE A WEEK
3 ONCE A MONTH
4 LT ONCE A MONTH
8 DK
9 NA
1007
TALKTO2 Label: How often Does R talk to person #2?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 ONCE A WEEK
3 ONCE A MONTH
4 LT ONCE A MONTH
8 DK
9 NA
1008
TALKTO3 Label: How often Does R talk to person #3?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 ONCE A WEEK
3 ONCE A MONTH
4 LT ONCE A MONTH
8 DK
9 NA
1009
TALKTO4 Label: How often Does R talk to person #4?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 ONCE A WEEK
3 ONCE A MONTH
4 LT ONCE A MONTH
8 DK
9 NA
1010
TALKTO5 Label: How often Does R talk to person #5?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 ONCE A WEEK
3 ONCE A MONTH
4 LT ONCE A MONTH
8 DK
9 NA
1011
KNOWN1 Label: How long Has R known person #1?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LT 3 YEARS
2 3-6 YEARS
3 6 YEARS +
8 DK
9 NA
1012
KNOWN2 Label: How long Has R known person #2?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LT 3 YEARS
2 3-6 YEARS
3 6 YEARS +
8 DK
9 NA
1013
KNOWN3 Label: How long Has R known person #3?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LT 3 YEARS
2 3-6 YEARS
3 6 YEARS +
8 DK
9 NA
1014
KNOWN4 Label: How long Has R known person #4?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LT 3 YEARS
2 3-6 YEARS
3 6 YEARS +
8 DK
9 NA
1015
KNOWN5 Label: How long Has R known person #5?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LT 3 YEARS
2 3-6 YEARS
3 6 YEARS +
8 DK
9 NA
1016
EDUC1 Label: Education level of person #1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 1-6 YEARS
1 7-9 YEARS
2 10-12 YEARS
3 H.S. GRAD
4 SOME COLLEGE
5 ASSO. DEGREE
6 BACH. DEGREE
7 GRAD OR PROF
8 DK
9 NA
1017
EDUC2 Label: Education level of person #2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 1-6 YEARS
1 7-9 YEARS
2 10-12 YEARS
3 H.S. GRAD
4 SOME COLLEGE
5 ASSO. DEGREE
6 BACH. DEGREE
7 GRAD OR PROF
8 DK
9 NA
1018
EDUC3 Label: Education level of person #3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 1-6 YEARS
1 7-9 YEARS
2 10-12 YEARS
3 H.S. GRAD
4 SOME COLLEGE
5 ASSO. DEGREE
6 BACH. DEGREE
7 GRAD OR PROF
8 DK
9 NA
1019
EDUC4 Label: Education level of person #4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 1-6 YEARS
1 7-9 YEARS
2 10-12 YEARS
3 H.S. GRAD
4 SOME COLLEGE
5 ASSO. DEGREE
6 BACH. DEGREE
7 GRAD OR PROF
8 DK
9 NA
1020
EDUC5 Label: Education level of person #5
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 1-6 YEARS
1 7-9 YEARS
2 10-12 YEARS
3 H.S. GRAD
4 SOME COLLEGE
5 ASSO. DEGREE
6 BACH. DEGREE
7 GRAD OR PROF
8 DK
9 NA
1021
AGE1 Label: Age of person #1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1022
AGE2 Label: Age of person #2
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1023
AGE3 Label: Age of person #3
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1024
AGE4 Label: Age of person #4
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1025
AGE5 Label: Age of person #5
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1026
RELIG1 Label: Religious preference of person #1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1027
RELIG2 Label: Religious preference of person #2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1028
RELIG3 Label: Religious preference of person #3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1029
RELIG4 Label: Religious preference of person #4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1030
RELIG5 Label: Religious preference of person #5
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1031
PARTYID1 Label: Party ID of person #1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEMOCRAT
2 REPUBLICAN
3 INDEPENDENT
4 OTHER
8 DK
9 NA
1032
PARTYID2 Label: Party ID of person #2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEMOCRAT
2 REPUBLICAN
3 INDEPENDENT
4 OTHER
8 DK
9 NA
1033
PARTYID3 Label: Party ID of person #3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEMOCRAT
2 REPUBLICAN
3 INDEPENDENT
4 OTHER
8 DK
9 NA
1034
TALKPOL1 Label: R discusses politics with person #1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 AT LEAST WEEKLY
3 AT LEAST MONTHLY
4 AT LEAST YEARLY
5 LESS THAN YEARLY
6 NEVER
8 DK
9 NA
1035
TALKPOL2 Label: R discusses politics with person #2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 AT LEAST WEEKLY
3 AT LEAST MONTHLY
4 AT LEAST YEARLY
5 LESS THAN YEARLY
6 NEVER
8 DK
9 NA
1036
TALKPOL3 Label: R discusses politics with person #3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST DAILY
2 AT LEAST WEEKLY
3 AT LEAST MONTHLY
4 AT LEAST YEARLY
5 LESS THAN YEARLY
6 NEVER
8 DK
9 NA
1037
TALKPOL Label: How often Does R discuss politics?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALWAYS
2 MOST OF THE TIME
3 OCCASIONALLY
4 ALMOST NEVER
8 DK
9 NA
1038
FRNDKNOW Label: How many of R's friends know each other?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL KNOW EACH OTHER
2 MOST KNOW EACH OTHER
3 FEW KNOW EACH OTHER
4 NONE KNOW EACH OTHER
5 NO FRIENDS<VOL.>
8 DK
9 NA
1039
MEMFRAT Label: Membership in fraternal group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1040
MEMSERV Label: Membership in service group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1041
MEMVET Label: Membership in veteran group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1042
MEMPOLIT Label: Membership in political club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1043
MEMUNION Label: Membership in labor union
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1044
MEMSPORT Label: Membership in sports club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1045
MEMYOUTH Label: Membership in youth group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1046
MEMSCHL Label: Membership in school service
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1047
MEMHOBBY Label: Membership in hobby club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1048
MEMGREEK Label: Membership in school fraternity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1049
MEMNAT Label: Membership in nationality group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1050
MEMFARM Label: Membership in farm organization
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1051
MEMLIT Label: Membership in literary or art group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1052
MEMPROF Label: Membership in professional society
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1053
MEMCHURH Label: Membership in church group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1054
MEMOTHER Label: Membership in any other
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1055
MEMNUM Label: Number of memberships
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1056
SOLFRAT Label: Fraternal group tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1057
SOLSERV Label: Service group tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1058
SOLVET Label: Veteran group tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1059
SOLPOLIT Label: Political club tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1060
SOLUNION Label: Labor union tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1061
SOLSPORT Label: Sports club tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1062
SOLYOUTH Label: Youth group tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1063
SOLSCHL Label: School service tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1064
SOLHOBBY Label: Hobby club tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1065
SOLGREEK Label: Fraternity tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1066
SOLNAT Label: Nationality grp tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1067
SOLFARM Label: Farm org tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1068
SOLLIT Label: Lit or art grp tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1069
SOLPROF Label: Prof society tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1070
SOLCHURH Label: Church group tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1071
SOLOTHER Label: Any other group tries to solve problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1072
ACTFRAT Label: R active in fraternal group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1073
ACTSERV Label: R active in service group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1074
ACTVET Label: R active in veteran group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1075
ACTPOLIT Label: R active in political club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1076
ACTUNION Label: R active in labor union
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1077
ACTSPORT Label: R active in sports club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1078
ACTYOUTH Label: R active in youth group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1079
ACTSCHL Label: R active in school service
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1080
ACTHOBBY Label: R active in hobby club
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1081
ACTGREEK Label: R active in school fraternity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1082
ACTNAT Label: R active in nationality group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1083
ACTFARM Label: R active in farm organization
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1084
ACTLIT Label: R active in literary or art group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1085
ACTPROF Label: R active in professional society
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1086
ACTCHURH Label: R active in church group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1087
ACTOTHER Label: R active in any other group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1088
CHURHGRP Label: Is church group church itself
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHURCH
2 RELATED GROUP
3 BOTH
8 DK
9 NA
1089
MOSTACT Label: Which group Is R most active in
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 FRATERNAL GROUPS
2 SERVICE CLUBS
3 VETERANS GROUPS
4 POLITICAL CLUBS
5 LABOR UNIONS
6 SPORTS GROUPS
7 YOUTH GROUPS
8 SCHOOL SERVICE
9 HOBBY CLUBS
10 SCHOOL FRATS
11 NATIONALITY GRPS
12 FARM ORGS
13 LIT OR ART GRPS
14 PROF SOCIETIES
15 CHURCH REL GRPS
16 ANY OTHER GRPS
98 DK
99 NA
1090
CAREGRP Label: How committed to group Is R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT COMMITTED
2 SLIGHTLY COMM
3 MODERATELY COMM
4 STRONGLY COMM
5 VERY STRONGLY COMM
8 DK
9 NA
1091
SERVEGRP Label: Has R served on group committees
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1092
LEADGRP Label: Has R served as officer in group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1093
GIVEGRP Label: Has R given money above regular dues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1094
ATTNDGRP Label: Has R attended group conferences
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1095
WRITEGRP Label: Has R written to newspapeR's for group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1096
LOBBYGRP Label: Has R contacted government for group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1097
LOCLIVED Label: How long Has R lived in community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LT 1 YEAR
2 1-3 YEARS
3 4-10 YEARS
4 GT 10 BUT LT LIFE
5 ENTIRE LIFE
8 DK
9 NA
1098
LOCTRUST Label: How much trust Does R have in local gov
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALWAYS
2 MOST OF TIME
3 SOME OF TIME
4 ALMOST NEVER
8 DK
9 NA
1099
LOCINFLU Label: How much influence R feels on local gov
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 MODERATE AMOUNT
3 A LITTLE
4 NONE
8 DK
9 NA
1100
LOCPROB Label: Has R helped to solve local problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1101
LOCGRP Label: Has R helped to start new local group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1102
LOCCARE Label: Would local officials listen to problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LOT OF ATTENTION
2 SOME
3 VERY LITTLE
4 NONE
8 DK
9 NA
1103
INTPOL Label: How interested in politics Is R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY INTERESTED
2 SOMEWHAT INT
3 SLIGHTLY INT
4 NOT INTERESTED
8 DK
9 NA
1104
SWAYVOTE Label: Has R tried to influence votes of others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DK
9 NA
1105
WORKPOL Label: Has R worked for parties or candidates
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST ELECTIONS
2 SOME ELECTIONS
3 ONLY A FEW
4 NEVER
8 DK
9 NA
1106
POLRALLY Label: Has R attended political rallies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1107
LOCLOBBY Label: Has R lobbied local officials
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1108
LOCSELF Label: Was problem of narrow or wide concern
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF FRNDS FAMLY
2 BOTH
3 WIDER CONCERN
8 DK
9 NA
1109
OTHLOBBY Label: Has R lobbied higher level officials
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1110
OTHSELF Label: Was this prob of narrow or wide concern
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF FRNDS FAMLY
2 BOTH
3 WIDER CONCERN
8 DK
9 NA
1111
GOVERNOR Label: Did R correctly name governor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CORRECT
2 INCORRECT
8 DK
9 NA
1112
USREP Label: Did R correctly name us representative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CORRECT
2 INCORRECT
8 DK
9 NA
1113
SCHLHEAD Label: Did R correctly name local school head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CORRECT
2 INCORRECT
8 DK
9 NA
1114
FEDTRUST Label: How much does R trust federal government
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALWAYS
2 MOST OF TIME
3 SOME OF TIME
4 ALMOST NEVER
8 DK
9 NA
1115
LOCVOTE Label: How often does R vote in local elections
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VOTE IN ALL
2 SOMETIMES MISS
3 RARELY VOTE
4 NEVER VOTE
8 DK
9 NA
1116
GAVEPOL Label: Has R given money to candidate or cause
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1117
BLKINFLU Label: Opinion of political influence of blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAR TOO MUCH
2 TOO MUCH
3 RIGHT AMOUNT
4 TOO LITTLE
5 FAR TOO LITTLE
8 DK
9 NA
1118
BLKGAINS Label: Best way for blacks to improve position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CIVIL RIGHTS GRPS
7 BETTER TRAINED INDS
8 DK
9 NA
1119
FEINFLU Label: Opinion of political influence of women
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAR TOO MUCH
2 TOO MUCH
3 RIGHT AMOUNT
4 TOO LITTLE
5 FAR TOO LITTLE
8 DK
9 NA
1120
FEGAINS Label: Best way for women to improve position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WOMENS RIGHTS GRPS
7 BETTER TRAINED INDS
8 DK
9 NA
1121
SCISOLVE Label: Science will solve social problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
1122
SCICHNG Label: Science changes way of life too fast
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
1123
SCIPRY Label: Scientists pry into things they oughtn't
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
1124
SCIMORAL Label: Science breaks down ideas of right & wrong
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DK
9 NA
1125
SWITCHED Label: Has R ever had a different religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1126
SWITCH1 Label: What was R's first religious preference
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999999
Value Label
110000 AMER BAPTIST ASSOC
111000 AMER BAPT CH IN US
112000 NATL BAPT CON OF AM
113000 NATL BAPT CON, USA
114000 SOUTHERN BAPT CON
115000 OTHER BAPTIST CHURCH
118000 BAPTIST, DK WHICH
120000 AFRCN METH EPIS CH
121000 AFRCN METH EPIS ZION
122000 UNITED METHODIST CH
123000 OTHER METHODIST CH
128000 METHODIST, DK WHICH
130000 AMER LUTHERAN CHURCH
131000 LUTHERAN CH IN AMER
132000 LUTH CH-MISSOURI SYN
133000 WISCONSIN EV LUTH SN
134000 OTHER LUTHERAN CHURC
135000 EVANGELICAL LUTHERAN
138000 LUTHERAN, DK WHICH
140000 PRESBYTERIAN CH N US
141000 UNITED PRES CH IN US
142000 OTHER PRESBYTERIAN
148000 PRESBYTERIAN, DK WHI
150000 EPISCOPAL CHURCH
160000 OTHER PROTESTANT
170000 NO DENOMINATION
200000 CATHOLIC
300000 JEWISH
400000 NONE
500000 OTHER RELIGION
999999 MISSING
1127
SWITCH2 Label: What was R's second religious preference
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999999
Value Label
110000 AMER BAPTIST ASSOC
111000 AMER BAPT CH IN US
112000 NATL BAPT CON OF AM
113000 NATL BAPT CON, USA
114000 SOUTHERN BAPT CON
115000 OTHER BAPTIST CHURCH
118000 BAPTIST, DK WHICH
120000 AFRCN METH EPIS CH
121000 AFRCN METH EPIS ZION
122000 UNITED METHODIST CH
123000 OTHER METHODIST CH
128000 METHODIST, DK WHICH
130000 AMER LUTHERAN CHURCH
131000 LUTHERAN CH IN AMER
132000 LUTH CH-MISSOURI SYN
133000 WISCONSIN EV LUTH SN
134000 OTHER LUTHERAN CHURC
135000 EVANGELICAL LUTHERAN
138000 LUTHERAN, DK WHICH
140000 PRESBYTERIAN CH N US
141000 UNITED PRES CH IN US
142000 OTHER PRESBYTERIAN
148000 PRESBYTERIAN, DK WHI
150000 EPISCOPAL CHURCH
160000 OTHER PROTESTANT
170000 NO DENOMINATION
200000 CATHOLIC
300000 JEWISH
400000 NONE
500000 OTHER RELIGION
999999 MISSING
1128
SWITCH3 Label: What was R's third religious preference
Format: F6.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 999999
Value Label
110000 AMER BAPTIST ASSOC
111000 AMER BAPT CH IN US
112000 NATL BAPT CON OF AM
113000 NATL BAPT CON, USA
114000 SOUTHERN BAPT CON
115000 OTHER BAPTIST CHURCH
118000 BAPTIST, DK WHICH
120000 AFRCN METH EPIS CH
121000 AFRCN METH EPIS ZION
122000 UNITED METHODIST CH
123000 OTHER METHODIST CH
128000 METHODIST, DK WHICH
130000 AMER LUTHERAN CHURCH
131000 LUTHERAN CH IN AMER
132000 LUTH CH-MISSOURI SYN
133000 WISCONSIN EV LUTH SN
134000 OTHER LUTHERAN CHURC
135000 EVANGELICAL LUTHERAN
138000 LUTHERAN, DK WHICH
140000 PRESBYTERIAN CH N US
141000 UNITED PRES CH IN US
142000 OTHER PRESBYTERIAN
148000 PRESBYTERIAN, DK WHI
150000 EPISCOPAL CHURCH
160000 OTHER PROTESTANT
170000 NO DENOMINATION
200000 CATHOLIC
300000 JEWISH
400000 NONE
500000 OTHER RELIGION
999999 MISSING
1129
SWITNUM Label: How many religious preferences mentioned
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
4 FOUR OR MORE
9 NA
1130
SWITAGE1 Label: How old was R when first switched
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1131
SWITAGE2 Label: How old was R when second switch
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1132
SWITWHY1 Label: Why did R make first switch
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 NA
10 MARRIAGE
14 MARR & LOCATION
15 MARR & THEOLOGY
16 MARR. & CLERGY
17 MARR & POSITIVE BLF
20 FRIENDS
23 FRNDS & FAMILY
24 FRNDS & LOCATION
25 FRNDS & THEO DIS
26 FRNDS & CLERGY
28 FRNDS & OTHER POS
30 FAMILY
34 FAM & LOCATION
35 FAM & THEO DISS
37 FAM & POSITIVE BLF
39 FAM & MISC
40 LOCATION
41 LOC & TO CHANGE
45 LOC & THEO DISSAT
46 LOC AND CLERGY
47 LOC & POSITIVE BLF
50 THEOLOGICAL DISS
56 THEO DISS & CLERGY
60 CLERGY
68 CLERGY & OTH POS
69 CLERGY & MISSING
70 TO CHANGE
71 OTHER, TO CHANGE
76 OTHER, MISC
77 OTHER, POS BLFS
78 OTHER, POS OTHER
79 OTHER, MISSING
85 LOC, THEO & CLRGY
86 FRNDS,FAM,LOCATION
87 MARR,LOC,THEO DIS
99 MISSING VALUES
1133
SWITWHY2 Label: Why did R make second switch
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 NA
10 MARRIAGE
14 MARR & LOCATION
15 MARR & THEOLOGY
16 MARR. & CLERGY
17 MARR & POSITIVE BLF
20 FRIENDS
23 FRNDS & FAMILY
24 FRNDS & LOCATION
25 FRNDS & THEO DIS
26 FRNDS & CLERGY
28 FRNDS & OTHER POS
30 FAMILY
34 FAM & LOCATION
35 FAM & THEO DISS
37 FAM & POSITIVE BLF
39 FAM & MISC
40 LOCATION
41 LOC & TO CHANGE
45 LOC & THEO DISSAT
46 LOC AND CLERGY
47 LOC & POSITIVE BLF
50 THEOLOGICAL DISS
56 THEO DISS & CLERGY
60 CLERGY
68 CLERGY & OTH POS
69 CLERGY & MISSING
70 TO CHANGE
71 OTHER, TO CHANGE
76 OTHER, MISC
77 OTHER, POS BLFS
78 OTHER, POS OTHER
79 OTHER, MISSING
85 LOC, THEO & CLRGY
86 FRNDS,FAM,LOCATION
87 MARR,LOC,THEO DIS
99 MISSING VALUES
1134
MARELIG Label: What was mother's religious preference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1135
MADEN Label: What was mother's religious denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTH
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN US
42 OTHER PRESBYTERIAN
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
1136
MAOTH Label: Other protestant denomination for mother
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
149 Polish Catholic
196 Empowerment Temple
197 Grace Independent Baptist Church
198 New Life
199 Follower of Christ
201 Pathways Christian Church
204 Renia de Deus
998 DK
999 NA
1137
MAJew Label: What sort of Jew was R's mother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Orthodox
2 Conservative
3 Reform
4 None of these
5 OTHER
8 DONT KNOW
9 NA
1138
MAFUND Label: How fundamentalist was R's mother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
1139
PARELIG Label: What was father's religious preference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
8 DONT KNOW
9 NA
1140
PADEN Label: What was father's religious denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTH
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN USA
42 OTHER PRESBYTERIAN
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
1141
PAOTH Label: Other protestant denomination for father
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
149 Polish Catholic
196 Empowerment Temple
197 Grace Independent Baptist Church
198 New Life
199 Follower of Christ
201 Pathways Christian Church
204 Renia de Deus
998 DK
999 NA
1142
PAJew Label: What sort of Jew was R's father
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Orthodox
2 Conservative
3 Reform
4 None of these
5 OTHER
8 DONT KNOW
9 NA
1143
PAFUND Label: How fundamentalist was R's father
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
1144
CHURHSCH Label: Number of years R attended church school
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NEVER WENT OR LESS THAN HALF YEAR
95 ONE OR MORE YEAR
98 DK
99 NA
1145
SUNSCH16 Label: How frequently R attended sunday school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REGULARLY
2 MOST OF THE TIME
3 SOME OF THE TIME
4 NEVER
5 ATT PAROCHIAL SCH
8 DK
9 NA
1146
GRACE16 Label: Did R's family say grace at meals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1147
JOIN16 Label: Was R ever confirmed as member of church
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1148
LAPSED Label: Did R ever lapse in church attendance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1149
CHURHMEM Label: Is R a member of church or synagogue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1150
CHURHACT Label: Does R participate in church activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1151
TVRELIG Label: Hours per week R watches religious TV
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1; 99.8; 99.90000000000001
Value Label
-1.0 IAP
99.8 DK
99.9 NA
1152
GOD Label: R's confidence in the existence of god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DONT BELIEVE
2 NO WAY TO FIND OUT
3 SOME HIGHER POWER
4 BELIEVE SOMETIMES
5 BELIEVE BUT DOUBTS
6 KNOW GOD EXISTS
8 DK
9 NA
1153
REBORN Label: Has R ever had a 'born again' experience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1154
SAVESOUL Label: Tried to convince others to accept jesus
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1155
SAYGRACE Label: Does R's family say grace before meals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1156
READWORD Label: How often did R read bible last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SEVERAL X DAY
2 ONCE A DAY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 LT ONCE A WEEK
6 DIDNT READ LAST YEAR
8 DK
9 NA
1157
PUNSIN Label: R agrees that sinners must be punished
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 DK
9 NA
1158
BLKWHITE Label: R agrees right & wrong not black & white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 DK
9 NA
1159
ROTAPPLE Label: R agrees immoral person corrupts society
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 DK
9 NA
1160
PERMORAL Label: R agrees that morality a Personal matter
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 DK
9 NA
1161
DECBIBLE Label: Importance of bible in making decisions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1162
DECOTHS Label: Imp. of family & friends to make decisions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1163
DECCHURH Label: Imp of church teachings to make decision
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1164
DECSELF Label: Imp of Personal judgment to make decision
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1165
GOCHURCH Label: Importance of attending church regularly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1166
BELIEVE Label: Importance of believing in god w o doubt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1167
FOLLOW Label: Importance of following church teachings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1168
GOOWNWAY Label: Importance of following own conscience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
5 NOT VERY IMPORTANT
8 DK
9 NA
1169
MYFAITH Label: Degree to which faith is free of doubt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAITH FREE OF DOUBT
7 FAITH MIXED W DOUBT
8 DK
9 NA
1170
MADATGOD Label: How often R feels angry at god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN ANGRY AT GOD
7 NEVER ANGRY AT GOD
8 DK
9 NA
1171
DOUBTS1 Label: Has evil in the world caused R doubt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1172
DOUBTS2 Label: Has Personal suffering caused R doubt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1173
DOUBTS3 Label: Has science-faith conflict caused doubt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1174
DOUBTS4 Label: Has feeling of meaninglessness caused doubt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1175
FAITH1 Label: Has death in family strengthened faith
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1176
FAITH2 Label: Has birth of child strengthened faith
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1177
FAITH3 Label: Has marriage strengthened faith
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1178
FAITH4 Label: Has sexual pleasure strengthened faith
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 NEVER
8 DK
9 NA
1179
FRNDCON1 Label: Does friend 1 belong to R's congregation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 R ISNT IN CONGREGTN
4 FRIEND, NO INFO
8 DK
9 NA
1180
FRNDCON2 Label: Does friend 2 belong to R's congregation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 R ISNT IN CONGREGTN
4 FRIEND, NO INFO
8 DK
9 NA
1181
FRNDCON3 Label: Does friend 3 belong to R's congregation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 R ISNT IN CONGREGTN
4 FRIEND, NO INFO
8 DK
9 NA
1182
FRNDCON4 Label: Does friend 4 belong to R's congregation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 R ISNT IN CONGREGTN
4 FRIEND, NO INFO
8 DK
9 NA
1183
FRNDCON5 Label: Does friend 5 belong to R's congregation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 R ISNT IN CONGREGTN
4 FRIEND, NO INFO
8 DK
9 NA
1184
FRNDREL1 Label: What is friend 1s religious preference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1185
FRNDREL2 Label: What is friend 2s religious preference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1186
FRNDREL3 Label: What is friend 3s religious preference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1187
FRNDREL4 Label: What is friend 4s religious preference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1188
FRNDREL5 Label: What is friend 5s religious preference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 NONE
5 OTHER
8 DK
9 NA
1189
FRNDDEN1 Label: What is friend 1s specific denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTHERAN
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN USA
42 OTHER PRESBYTERIAN
43 PRESBYT CH USA
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
1190
FRNDDEN2 Label: What is friend 2s specific denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTHERAN
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN USA
42 OTHER PRESBYTERIAN
43 PRESBYT CH USA
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
1191
FRNDDEN3 Label: What is friend 3s specific denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTHERAN
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN USA
42 OTHER PRESBYTERIAN
43 PRESBYT CH USA
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
1192
FRNDDEN4 Label: What is friend 4s specific denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTHERAN
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN USA
42 OTHER PRESBYTERIAN
43 PRESBYT CH USA
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
1193
FRNDDEN5 Label: What is friend 5s specific denomination
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
10 AM BAPTIST ASSO
11 AM BAPT CH IN USA
12 NAT BAPT CONV OF AM
13 NAT BAPT CONV USA
14 SOUTHERN BAPTIST
15 OTHER BAPTISTS
18 BAPTIST-DK WHICH
20 AFR METH EPISCOPAL
21 AFR METH EP ZION
22 UNITED METHODIST
23 OTHER METHODIST
28 METHODIST-DK WHICH
30 AM LUTHERAN
31 LUTH CH IN AMERICA
32 LUTHERAN-MO SYNOD
33 WI EVAN LUTH SYNOD
34 OTHER LUTHERAN
35 EVANGELICAL LUTHERAN
38 LUTHERAN-DK WHICH
40 PRESBYTERIAN C IN US
41 UNITED PRES CH IN USA
42 OTHER PRESBYTERIAN
43 PRESBYT CH USA
48 PRESBYTERIAN-DK WH
50 EPISCOPAL
60 OTHER
70 NO DENOMINATION
98 DK
99 NA
1194
FRNDOTH1 Label: What is friend 1s other prot denom
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1195
FRNDOTH2 Label: What is friend 2s other prot denom
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1196
FRNDOTH3 Label: What is friend 3s other prot denom
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1197
FRNDOTH4 Label: What is friend 4s other prot denom
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1198
FRNDOTH5 Label: What is friend 5s other prot denom
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1199
FRNDFND1 Label: Fund.-lib. of 1st friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUND
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
1200
FRNDFND2 Label: Fund.-lib. of 2nd friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUND
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
1201
FRNDFND3 Label: Fund.-lib. of 3rd friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUND
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
1202
FRNDFND4 Label: Fund.-lib. of 4th friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUND
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
1203
FRNDFND5 Label: Fund.-lib. of 5th friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUND
2 MODERATE
3 LIBERAL
8 DK
9 NA-EXCLUDED
1204
FRNDRAC1 Label: What is friend 1s race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 SOMETHING ELSE
8 DONT KNOW
9 NA
1205
FRNDRAC2 Label: What is friend 2s race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 SOMETHING ELSE
8 DONT KNOW
9 NA
1206
FRNDRAC3 Label: What is friend 3s race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 SOMETHING ELSE
8 DONT KNOW
9 NA
1207
FRNDRAC4 Label: What is friend 4s race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 SOMETHING ELSE
8 DONT KNOW
9 NA
1208
FRNDRAC5 Label: What is friend 5s race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 SOMETHING ELSE
8 DONT KNOW
9 NA
1209
FRIENDS Label: Have any good friends feeling close
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1210
NUMFREND Label: About how many good friends do you have
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
94 NO NUMUBER GIVEN
95 MANY
96 96+
98 DK
99 NA
1211
NUMBWFRD Label: Good friends who are white-black
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
94 NO NUMUBER GIVEN
95 MANY
96 96+
98 DK
99 NA
1212
BWFRIEND Label: Friends black or white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1213
GODSELLS Label: Religious image to sell products
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY APPROVE
2 SOMEWHAT APPROVE
3 NOT APPRVE/OPPSE
4 SOMEWHAT OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1214
GODSPORT Label: Pro-athletes giving thanks to god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY APPROVE
2 SOMEWHAT APPROVE
3 NOT APPRVE/OPPSE
4 SOMEWHAT OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1215
GIVECONG Label: Given money to local congregation
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 99997 THRU 99999; -1
Value Label
-1 IAP
99997 REFUSED
99998 DK
99999 NA
1216
GIVEREL Label: Given money other religious org
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 99997 THRU 99999; -1
Value Label
-1 IAP
99997 REFUSED
99998 DK
99999 NA
1217
GIVEOTH Label: Given money non-religious charities
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 99997 THRU 99999; -1
Value Label
-1 IAP
99997 REFUSED
99998 DK
99999 NA
1218
GIVEARTS Label: Contributions to arts culture humanities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1219
RELHRS1 Label: Hours religious act in home
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
1220
RELHRS2 Label: Hours religious act outside of home
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
1221
NUMCONG Label: Number of members of the congregation
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: -1; 9999; 9998
Value Label
-1 IAP
9996 9996 or more
9998 DK
9999 NA
1222
KID5UP Label: Have children older than 5
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1223
PUBSCH Label: All children attend pub elem & hi school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1224
HOMESCH Label: Children attend home schooling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1225
CATHSCH Label: Children attend catholic school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1226
CHRISSCH Label: Children attend christian school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1227
DENOMSCH Label: Denomination of school children attended
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Baptist
2 Christian Reform
3 Christian Science
4 Episcopal
5 Inter Denominational
6 Lutheran
7 Missouri Synod Lutheran
8 Non-Denominational
9 Southern Baptist
10 Seventh Day Adventist
11 Valley Christian
12 Congregational
13 Mormon
98 Don't know
99 No answer
1228
RELSCH Label: Children attend other church school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1229
PRIVSCH Label: Children attend private secular school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1230
OTHSCH Label: Children attend other school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1231
SHOPREL Label: Ever shopped around for a church
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1232
SHOPMOVE Label: Shopped around because had moved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1233
SHOPNUM Label: How many churches did you visit
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NA
1234
OTHCHRCH Label: Happy in other non catholic church
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1235
IMPLIVES Label: Way of life more important than being catholic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1236
OBEYTCH Label: Important to obey church teachings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1237
PREACH Label: How well local church preaches
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 VERY GOOD
3 GOOD
4 FAIR
5 POOR
8 DK
9 NA
1238
FERESPCT Label: How well local church respects women's rights
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 VERY GOOD
3 GOOD
4 FAIR
5 POOR
8 DK
9 NA
1239
SYMPCOUN Label: How well local church counsels sympathetically
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 VERY GOOD
3 GOOD
4 FAIR
5 POOR
8 DK
9 NA
1240
WRKYOUNG Label: How well local church works with youth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 VERY GOOD
3 GOOD
4 FAIR
5 POOR
8 DK
9 NA
1241
WORSHIP Label: How good local church woR'ship services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 VERY GOOD
3 GOOD
4 FAIR
5 POOR
8 DK
9 NA
1242
OWNTHING Label: Youthful protest is good
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1243
TALKBACK Label: Talking back to parents is bad
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1244
TWOCLASS Label: Weak vs. strong
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1245
OPENMIND Label: Treat dissenters with leniency
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1246
WHYPOOR1 Label: Poor schools
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT IMPORTANT
8 DONT KNOW
9 NA
1247
WHYPOOR2 Label: Loose morals and drunkenness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT IMPORTANT
8 DONT KNOW
9 NA
1248
WHYPOOR3 Label: Not enough jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT IMPORTANT
8 DONT KNOW
9 NA
1249
WHYPOOR4 Label: Lack of effort
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 SOMEWHAT IMPORTANT
3 NOT IMPORTANT
8 DONT KNOW
9 NA
1250
SOCDIF1 Label: Income differences an incentive
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 DISAGREE
4 DISAGREE STRONGLY
8 DONT KNOW
9 NA
1251
SOCDIF2 Label: Paid what you need
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 DISAGREE
4 DISAGREE STRONGLY
8 DONT KNOW
9 NA
1252
SOCDIF3 Label: Study for years to get high pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 DISAGREE
4 DISAGREE STRONGLY
8 DONT KNOW
9 NA
1253
SOCDIF4 Label: Don't give equal chance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 DISAGREE
4 DISAGREE STRONGLY
8 DONT KNOW
9 NA
1254
WLTHWHTS Label: Rich - poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DONT KNOW
9 NA
1255
WLTHJewS Label: Rich - poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DONT KNOW
9 NA
1256
WLTHBLKS Label: Rich - poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DONT KNOW
9 NA
1257
WLTHASNS Label: Rich - poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DONT KNOW
9 NA
1258
WLTHHSPS Label: Rich - poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DONT KNOW
9 NA
1259
WLTHSO Label: Rich - poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DONT KNOW
9 NA
1260
WORKWHTS Label: Hard working - lazy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARDWORKING
7 LAZY
8 DONT KNOW
9 NA
1261
WORKJewS Label: Hard working - lazy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARDWORKING
7 LAZY
8 DONT KNOW
9 NA
1262
WORKBLKS Label: Hard working - lazy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARDWORKING
7 LAZY
8 DONT KNOW
9 NA
1263
WORKASNS Label: Hard working - lazy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARDWORKING
7 LAZY
8 DONT KNOW
9 NA
1264
WORKHSPS Label: Hard working -lazy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARDWORKING
7 LAZY
8 DONT KNOW
9 NA
1265
WORKSO Label: Hard working - lazy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARDWORKING
7 LAZY
8 DONT KNOW
9 NA
1266
VIOLWHTS Label: Violent - not violent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VIOLENCE-PRONE
7 NOT VIOLENCE-PRONE
8 DONT KNOW
9 NA
1267
VIOLJewS Label: Violent - not violent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VIOLENCE-PRONE
7 NOT VIOLENCE-PRONE
8 DONT KNOW
9 NA
1268
VIOLBLKS Label: Violent - not violent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VIOLENCE-PRONE
7 NOT VIOLENCE-PRONE
8 DONT KNOW
9 NA
1269
VIOLASNS Label: Violent - not violent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VIOLENCE-PRONE
7 NOT VIOLENCE-PRONE
8 DONT KNOW
9 NA
1270
VIOLHSPS Label: Violent - not violent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VIOLENCE-PRONE
7 NOT VIOLENCE-PRONE
8 DONT KNOW
9 NA
1271
VIOLSO Label: Violent - not violent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VIOLENCE-PRONE
7 NOT VIOLENCE-PRONE
8 DONT KNOW
9 NA
1272
INTLWHTS Label: Unintelligent -intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNINTELLIGENT
7 INTELLIGENT
8 DONT KNOW
9 NA
1273
INTLJewS Label: Unintelligent - intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNINTELLIGENT
7 INTELLIGENT
8 DONT KNOW
9 NA
1274
INTLBLKS Label: Unintelligent - intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNINTELLIGENT
7 INTELLIGENT
8 DONT KNOW
9 NA
1275
INTLASNS Label: Unintelligent - intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNINTELLIGENT
7 INTELLIGENT
8 DONT KNOW
9 NA
1276
INTLHSPS Label: Unintelligent - intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNINTELLIGENT
7 INTELLIGENT
8 DONT KNOW
9 NA
1277
INTLSO Label: Unintelligent - intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UNINTELLIGENT
7 INTELLIGENT
8 DONT KNOW
9 NA
1278
FAREWHTS Label: Self supporting - live off welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-SUPPORTING
7 LIVE OFF WELFARE
8 DONT KNOW
9 NA
1279
FAREJewS Label: Self supporting - live off welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-SUPPORTING
7 LIVE OFF WELFARE
8 DONT KNOW
9 NA
1280
FAREBLKS Label: Self supporting - live off welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-SUPPORTING
7 LIVE OFF WELFARE
8 DONT KNOW
9 NA
1281
FAREASNS Label: Self supporting - live off welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-SUPPORTING
7 LIVE OFF WELFARE
8 DONT KNOW
9 NA
1282
FAREHSPS Label: Self supporting - live off welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-SUPPORTING
7 LIVE OFF WELFARE
8 DONT KNOW
9 NA
1283
FARESO Label: Self supporting - live off welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-SUPPORTING
7 LIVE OFF WELFARE
8 DONT KNOW
9 NA
1284
PATRWHTS Label: Unpatriotic - patriotic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PATRIOTIC
7 UNPATRIOTIC
8 DONT KNOW
9 NA
1285
PATRJewS Label: Unpatriotic - patriotic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PATRIOTIC
7 UNPATRIOTIC
8 DONT KNOW
9 NA
1286
PATRBLKS Label: Unpatriotic - patriotic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PATRIOTIC
7 UNPATRIOTIC
8 DONT KNOW
9 NA
1287
PATRASNS Label: Unpatriotic - patriotic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PATRIOTIC
7 UNPATRIOTIC
8 DONT KNOW
9 NA
1288
PATRHSPS Label: Unpatriotic - patriotic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PATRIOTIC
7 UNPATRIOTIC
8 DONT KNOW
9 NA
1289
PATRSO Label: Unpatriotic - patriotic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PATRIOTIC
7 UNPATRIOTIC
8 DONT KNOW
9 NA
1290
LIVEJewS Label: Neighborhood half Jewish
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1291
LIVEBLKS Label: Neighborhood half black
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1292
LIVEASNS Label: Neighborhood half Asian
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1293
LIVEHSPS Label: Neighborhood half Hispanic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1294
LIVENO Label: Neighborhood half northern white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1295
LIVESO Label: Neighborhood half southern white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1296
LIVEWHTS Label: R favors living in half white neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1297
MARJew Label: Close relative marry Jew
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1298
MARBLK Label: Close relative marry black
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1299
MARAsian Label: Close relative marry Asian
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1300
MARHISP Label: Close relative marry Hispanic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1301
MARNO Label: Close relative marry no. white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1302
MARSO Label: Close relative marry so. white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1303
MARWHT Label: R favor close relative marrying white person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1304
WORKFARE Label: Work to get welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1305
LESSFARE Label: If less welfare more will work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1306
POVZONE Label: Tax breaks for poor areas
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1307
POVSCHS Label: Spend more on poor schools
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1308
POVCOL Label: Give college aid to poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1309
BLKZONE Label: Tax breaks for black areas
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1310
BLKSCHS Label: Spend more on black schools
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1311
BLKCOL Label: Give college aid to blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1312
RACQUOTA Label: Forbid racial job quotas
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 FAVOR
3 NEITHER FAVOR NOR OPPOSE
4 OPPOSE
5 STRONGLY OPPOSE
8 DONT KNOW
9 NA
1313
INFLUWHT Label: Influence of whites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH INFLUENCE
2 RIGHT AMOUNT
3 TOO LITTLE INFLUENCE
8 DONT KNOW
9 NA
1314
INFLUJew Label: Influence of Jews
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH INFLUENCE
2 RIGHT AMOUNT
3 TOO LITTLE INFLUENCE
8 DONT KNOW
9 NA
1315
INFLUBLK Label: Influence of blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH INFLUENCE
2 RIGHT AMOUNT
3 TOO LITTLE INFLUENCE
8 DONT KNOW
9 NA
1316
INFLUASN Label: Influence of Asians
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH INFLUENCE
2 RIGHT AMOUNT
3 TOO LITTLE INFLUENCE
8 DONT KNOW
9 NA
1317
INFLUHSP Label: Influence of Hispanics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH INFLUENCE
2 RIGHT AMOUNT
3 TOO LITTLE INFLUENCE
8 DONT KNOW
9 NA
1318
INFLUSO Label: Influence of so. whites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH INFLUENCE
2 RIGHT AMOUNT
3 TOO LITTLE INFLUENCE
8 DONT KNOW
9 NA
1319
HSPJOBS Label: Hispanics discriminated in jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 SOME
3 ONLY A LITTLE
4 NONE AT ALL
8 DONT KNOW
9 NA
1320
BLKJOBS Label: Blacks discriminated in jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 SOME
3 ONLY A LITTLE
4 NONE AT ALL
8 DONT KNOW
9 NA
1321
ASNJOBS Label: Asians discriminated in jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 SOME
3 ONLY A LITTLE
4 NONE AT ALL
8 DONT KNOW
9 NA
1322
HSPHOUSE Label: Hispanics discriminated in housing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 SOME
3 ONLY A LITTLE
4 NONE AT ALL
8 DONT KNOW
9 NA
1323
BLKHOUSE Label: Blacks discriminated in housing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 SOME
3 ONLY A LITTLE
4 NONE AT ALL
8 DONT KNOW
9 NA
1324
ASNHOUSE Label: Asians discriminated in housing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 SOME
3 ONLY A LITTLE
4 NONE AT ALL
8 DONT KNOW
9 NA
1325
RACWORK Label: Racial makeup of workplace
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL WHITE
2 MOSTLY WHITE
3 HALF WHITE-BLACK
4 MOSTLY BLACK
5 ALL BLACK
6 WORKS ALONE
8 DON'T KNOW
9 NA
1326
AFFACT Label: R's firm has aff. action program
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1327
DISCAFF Label: Whites hurt by aff. action
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
8 DONT KNOW
9 NA
1328
DISCWHY1 Label: Personally experienced it
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DONT KNOW
9 NA
1329
DISCWHY2 Label: Happened to someone close
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DONT KNOW
9 NA
1330
DISCWHY3 Label: Happened at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DONT KNOW
9 NA
1331
DISCWHY4 Label: Heard about it in media
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DONT KNOW
9 NA
1332
DISCWHY5 Label: Heard about it elsewhere
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MENTIONED
2 NOT MENTIONED
8 DONT KNOW
9 NA
1333
DISCWHY6 Label: Other sources
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GENERAL,NO SOURCE
2 ALL OF THE ABOVE
3 THE LAW
8 DONT KNOW
9 NA
1334
GENEJOB Label: Should employers give genetic tests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
1335
GENEHIRE Label: Employers' right to hire by genetic tests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
1336
GENECANX Label: Employer test cancer or safeworkplace
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
1337
GENECANY Label: Employers' right to hire by cancertests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD
2 SHOULD NOT
8 DK
9 NA
1338
GENEGETS Label: Employer vs. employee on access right to results
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EMPLOYER SHOULD
2 WORKER SHOULD
3 BOTH - VOLUNTARY
8 DK
9 NA
1339
PROFITS1 Label: Whether management only care about profit
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1340
PROFITS2 Label: Should co. pay workers more than shareholders
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1341
UNPOWER Label: Unions in this country have too little power
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1342
UNPROG Label: Unions just block economic progress
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1343
OUTOFBIZ Label: The organization went out of business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1344
MERGED Label: The org. was merged, taken over
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1345
REORG Label: There was a major reorganization
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1346
ORGFIN Label: R's financial situation after org. changes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 WORSE
4 MUCH WORSE
5 NO EFFECT
8 DK
9 NA
1347
WRKYEARS Label: #Years you have worked for pay since were 16
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1348
EVUNEMP Label: Ever been unemployed two weeks +
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
7 NEVER FULL-TIME
9 NA
1349
NUMUNEMP Label: How many times unemployed more than two weeks
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 96 OR MORE
98 DK
99 NA
1350
TOTUNEMP Label: Total times unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 2-8 WEEKS
2 8 WEEK - 6 MON
3 6-12 MON
4 > 1 YEAR
8 DK
9 NA
1351
EMPYEARS Label: Years worked for your present employer
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1; 99.98; 99.98999999999999
Value Label
-1.00 IAP
1352
FNDJOB1 Label: Heard job from one already worked there
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1353
FNDJOB2 Label: Heard job from relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1354
FNDJOB3 Label: Heard job from friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1355
FNDJOB4 Label: Heard job from acquaintances
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1356
FNDJOB5 Label: Heard job from newspaper ad
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1357
FNDJOB6 Label: Heard job through employment agency
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1358
FNDJOB7 Label: Heard job from recruiter for this employer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1359
FNDJOB8 Label: Heard job just came here and asked for work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1360
FNDJOB9 Label: Heard job other (specify)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 UNION
2 SCHOOL
3 SELF-EMPLOYED,CREATED JOB
4 ANNOUNCEMENT,NEWSPAPER
7 OTHER
9 NA
1361
INTLTEST Label: Before got the job took an intelligence test
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1362
SKILTEST Label: Before got the job took a skill test
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1363
DRUGTEST Label: Before got the job took a drug and alcohol test
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1364
PHYSICAL Label: Before got the job took a physical test
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1365
LTRSREF Label: Supply letters of reference
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1366
SAMEJOB Label: Current job same or different fromfirst job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 JOB HAVE NOW
2 DIFFERENT JOB
9 NA
1367
JOBYEARS Label: For how long have you had your present job
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1; 99.98; 99.98999999999999
Value Label
-1.00 IAP
99.99 NA
1368
THISJOB1 Label: Heard job from a notices posted my workplace
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1369
THISJOB2 Label: Heard job through my union
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1370
THISJOB3 Label: Heard job from my supervisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1371
THISJOB4 Label: Heard job from one of my coworkers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1372
THISJOB5 Label: Heard job i near the top of a seniority list
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1373
THISJOB6 Label: Heard job i was asked to take the new job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1374
THISJOB7 Label: Heard job others (specify)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 RELATIVE
2 FRIEND
3 PERSONNEL
7 OTHER
9 NA
1375
PROMOTNG Label: Procedures for promotion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1376
PROMOTED Label: Ever promoted by current employer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1377
NUMPROMO Label: #Promotions have you received
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
7 7 or more
8 DK
9 NA
1378
IMPPROMO Label: Importance of the opportunity to be promoted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
5 DOES NOT APPLY, VOLUNTEERED
8 DK
9 NA
1379
FUTPROMO Label: How likely you will be promoted next five years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 LIKELY
3 NOT VERY LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
1380
SEXPROMO Label: Sex makes your promotion different
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER
2 WORSE
3 NO EFFECT
8 DK
9 NA
1381
RACPROMO Label: Ethnic background makes your promotion different
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER
2 WORSE
3 NO EFFECT
8 DK
9 NA
1382
ADVANCES Label: Have you advanced, same level or lost
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ADVANCED RAPIDLY
2 STEADY ADVANCE
3 SAMELEVEL
4 LOST SOME GROUND
7 1ST JOB WITH ORG
9 NA
1383
JOBCNTRL Label: Who makes decision for your job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OTHER DECIDE WHAT AND HOW I DO
2 OTHER DECIDE WHAT BUT NOT HOW
3 I DECIDE SOME WHAT AND HOW I DO
4 I AM MY OWN BOSS
9 NA
1384
WRKINDEP Label: I can work independently
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 TRUE
3 SOMEWHAT TRUE
4 NOT TRUE AT ALL
8 DK
9 NA
1385
LOTTOSAY Label: I have a lot to say on my job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 TRUE
3 SOMEWHAT TRUE
4 NOT TRUE AT ALL
8 DK
9 NA
1386
IDECIDE Label: My job allows me make part decisions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 TRUE
3 SOMEWHAT TRUE
4 NOT TRUE AT ALL
8 DK
9 NA
1387
AUTOMATN Label: My job is controlled by my machine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 TRUE
3 SOMEWHAT TRUE
4 NOT TRUE AT ALL
8 DK
9 NA
1388
MONITRED Label: Computers monitor my job performance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 TRUE
3 SOMEWHAT TRUE
4 NOT TRUE AT ALL
8 DK
9 NA
1389
OFFSUP Label: Do you supervise the work of other employees
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1390
YOUSUP Label: How many people do you supervise directly
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
999 NA
1391
SUPOTHRS Label: Any people supervised by you supervise others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1392
LEVELS Label: How many levels of supervision beneath you
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
1393
TOTSUP Label: How many people responsible to you
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1394
SUPDUTY1 Label: You train employees safe use equipment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1395
SUPDUTY2 Label: You train employees in other ways
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1396
SUPDUTY3 Label: You organize schedules or tasks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1397
SUPDUTY4 Label: You devise new ways of doing tasks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1398
SUPDUTY5 Label: You check workers' progress, attendance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1399
SUPDUTY6 Label: You evaluate job performance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1400
SUPDUTY7 Label: You take promotions or disciplinary actions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1401
OTHDUTY1 Label: You train employees safe use equip. not supervise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1402
OTHDUTY2 Label: You train employees in other ways, not supervise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1403
OTHDUTY3 Label: You organize schedules or tasks, not supervise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1404
OTHDUTY4 Label: You devise new ways of doing tasks, not supervise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1405
OTHDUTY5 Label: You check progress or attendance, not supervise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1406
OTHDUTY6 Label: You evaluate job performance, not supervise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1407
OTHDUTY7 Label: You promote or discipline actions, not supervise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1408
ORGMONEY Label: Participate in decisions about org's money
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1409
TOTMONEY Label: How much money in the largest of these decisions
Format: F7.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9999998; 9999999
Value Label
0 IAP
9999996 $9999996 OR MORE
9999998 DK
9999999 NA
1410
YOUMONEY Label: Largest decision in which you had the final say
Format: F7.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9999998; 9999999
Value Label
0 IAP
9999996 $9999996 OR MORE
9999998 DK
9999999 NA
1411
JOBJUDGE Label: Someone evaluate your performance regularly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1412
QUANTITY Label: How easy your supervisor know how much you do
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY EASY
2 SOMEWHAT EASY
3 SOMEWHAT HARD
4 VERY HARD
8 DK
9 NA
1413
QUALITY Label: How easy your supervisor know how good you are
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY EASY
2 SOMEWHAT EASY
3 SOMEWHAT HARD
4 VERY HARD
8 DK
9 NA
1414
WRKWELL Label: How well youcompare to people do same job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 SOMEWHAT BETTER
3 ABOUT SAME
4 SOMEWHAT WORSE
5 MUCH WORSE
8 DK
9 NA
1415
WRKMUCH Label: How much you compare to people do same job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH MORE
2 SOMEWHAT MORE
3 ABOUT SAME
4 SOMEWHAT LESS
5 MUCH LESS
8 DK
9 NA
1416
IMATTER Label: Success of my org. depends lot on how well i do
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1417
HELPORG Label: Willing work harder than have to help org.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1418
NOTLOYAL Label: Feel very little loyalty to this org.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1419
STAYORG1 Label: Would take any job to keep working for this org.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1420
SAMEVALS Label: My values and the org.'s values are very similar
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1421
PROUDORG Label: Proud to be working for this org.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1422
STAYORG2 Label: Turn down another job for pay to stay this org.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1423
NOTICED Label: People usually notice when i do my job well
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1424
CHNGEORG Label: How likely I'll try to find job in another org.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL LIKELY
2 SOMEWAHT LIKELY
3 VERY LIKELY
8 DK
9 NA
1425
OTHPAY Label: Get commissions, bonuses, tips from main job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1426
RAISEALL Label: All workers regardless of performance got raise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1427
RAISEHRD Label: Workers who work hard and perform well got raise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1428
RAISEFAV Label: Workers have favored relation to boss got raise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1429
FRINGE1 Label: Medical or hospital insurance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1430
FRINGE2 Label: Dental care benefits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1431
FRINGE3 Label: Life insurance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1432
FRINGE4 Label: Sick leave with full pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1433
FRINGE5 Label: Maternity leave with full re-employment rights
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1434
FRINGE6 Label: Flexible hours, or flextime scheduling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1435
FRINGE7 Label: Cash or stock bonuses for performance or merit
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1436
FRINGE8 Label: A pension or retirement program
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1437
FRINGE9 Label: Profit sharing or stock option program
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1438
FRINGE10 Label: Information about child care services in company
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1439
FRINGE11 Label: Assistance with the costs of day care for children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1440
JOBVSHME Label: How often your family interfered with your job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 FREQUENTLY
2 SOMETIMES
3 SELDOM
4 NEVER
9 NA
1441
UNVOTE Label: Would you vote for or against having a union
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FOR
2 AGAINST
8 DK
9 NA
1442
UNMANREL Label: Relations between management and workers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY
2 QUITE GOOD
3 NEITHER GOOD NOR BAD
4 QUITE BAD
5 VERY BAD
8 DK
9 NA
1443
COWRKREL Label: Relations between coworkers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY
2 QUITE GOOD
3 NEITHER GOOD NOR BAD
4 QUITE BAD
5 VERY BAD
8 DK
9 NA
1444
SCHOOLNG Label: Importance formal school for you job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1445
TRAINING Label: Importance of on-the-job training for you job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1446
LEARNING Label: Importance of learning from co-workers for you job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1447
EXPTRAIN Label: Importance of different employer training for job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1448
WHEREWRK Label: Doing your job in one or several different places
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 SOME PLACE
2 DIFFERENT
9 NA
1449
FINDOUT Label: Can find out where you will be working
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1450
BASEOFOP Label: You have base of operations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
1451
SPLOCNUM Label: #Of workers at the location your spouse works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1-9
2 10-49
3 50-99
4 100-499
5 500-999
6 1,000-1,999
7 2,000+
8 DONT KNOW
9 NA
1452
STANDUP Label: Stand up for your own opinion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD STAND UP REGARDLESS
2 KEEP IT YOURSELF IF OFFEND OTHERS
3 NEITHER
8 DK
9 NA
1453
SELFIRST Label: Take care of yourself first before others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1454
RICHPOOR Label: Ok to get rich even if others poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1455
OPOUTCME Label: Should amer promote eq oppty or eq outcomes?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROMOTE EQUAL OPPOTUNITY
2 PROMOTE EQUAL OUTCOMES
3 OTHER
8 DK
9 NA
1456
UNITED Label: Americans united or divided on values
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AMERICAN ARE UNITED
2 AMERICAN ARE DIVIDED
8 DK
9 NA
1457
OBTOHELP Label: Obligation to care for ill parent or spouse?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IT IS OBLGATION
2 ONLY IF THEY WANT TO
3 OTHER
8 DK
9 NA
1458
LFEGOD Label: Life outcome decided by god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1459
LFEGENES Label: Some with better genes than others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1460
LFESOCTY Label: Society gives some head start & holds back others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1461
LFEHRDWK Label: Some people work harder than others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1462
LFECHNCE Label: Life is a matter of chance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DK
9 NA
1463
BIGBAND Label: Like or dislike bigband music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1464
BLUGRASS Label: Like or dislike bluegrass music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1465
COUNTRY Label: Like or dislike country western music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1466
BLUES Label: Like or dislike blues or R and b music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1467
MUSICALS Label: Like or dislike broadway musicals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1468
CLASSICL Label: Like or dislike classical music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1469
FOLK Label: Like or dislike folk music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1470
GOSPEL Label: Like or dislike gospel music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1471
JAZZ Label: Like or dislike jazz
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1472
LATIN Label: Like or dislike latin music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1473
MOODEASY Label: Like or dislike easy listening music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1474
NEWAGE Label: Like or dislike new age music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1475
OPERA Label: Like or dislike opera
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1476
RAP Label: Like or dislike rap music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1477
REGGAE Label: Like or dislike reggae music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1478
CONROCK Label: Like or dislike contemporary rock music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1479
OLDIES Label: Like or dislike oldies rock music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1480
HVYMETAL Label: Like or dislike heavy metal music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE VERY MUCH
2 LIKE IT
3 MIXED FEELINGS
4 DISLIKE IT
5 DISLIKE VERY MUCH
8 DK MUCH ABOUT IT
9 NA
1481
ATTSPRTS Label: Attended sports event in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1482
VISITART Label: Visited art museum or gallery in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1483
MAKEART Label: Made art or craft object in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1484
AUTORACE Label: Attended auto race in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1485
CAMPING Label: Went camping in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1486
GARDEN Label: Grew vegetables or floweR's in garden in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1487
DANCE Label: Attended dance perf in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1488
GOMUSIC Label: Attended classical or opera in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1489
HUNTFISH Label: Went hunting or fishing in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1490
PERFORM Label: Performed music, dance, theater in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1491
DOSPORTS Label: Played sports in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1492
SEEMOVIE Label: Went to a movie in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1493
USEVCR Label: Used vcr in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1494
PLYMUSIC Label: Played a musical instrument in Lst yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1495
TVSHOWS Label: How often R watches TV drama or sitcoms
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVRL DAYS IN WEEK
3 SEVRL DAYS IN MONTH
4 RARELY
5 NEVER
8 DK
9 NA
1496
TVNEWS Label: How often R watches TV news
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVRL DAYS IN WEEK
3 SEVRL DAYS IN MONTH
4 RARELY
5 NEVER
8 DK
9 NA
1497
TVPBS Label: How often R watches public TV shows
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVRL DAYS IN WEEK
3 SEVRL DAYS IN MONTH
4 RARELY
5 NEVER
8 DK
9 NA
1498
JUDGEART Label: Only a few people can judge art
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1499
TRSTPROF Label: Trust profs judgments in assigning reading
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1500
CLASSICS Label: Hs and coll studts read too many classics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1501
GRTBOOKS Label: Appeal of greatest books is univeR'sal
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1502
MODPAINT Label: Modern painting is just slapped on
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1503
English Label: Better if English is only language used in school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1504
PCLIT Label: Shame tradl amer lit ignored for minority lit
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1505
EXCELART Label: Artistic excellence found in folk art
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1506
HOSTHOME Label: Uncomf entertaining strangeR's at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1507
FRDCREAT Label: Desir qualities of friend: creative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPORTANT
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1508
FRDCULTR Label: Desir qualities of friend: cultured
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPORTANT
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1509
FRDDYNAM Label: Desir qualities of friend: dynamic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPORTANT
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1510
FRDFUN Label: Desir qualities of friend: fun-loving
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPORTANT
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1511
FRDHONST Label: Desir qualities of friend: honest
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPORTANT
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1512
FRDINTEL Label: Desir qualities of friend: intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPORTANT
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1513
FRDRESP Label: Desir qualities of friend: responsible
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY IMPORTANT
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1514
IMPFINAN Label: Imp to R of financial security
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMPORTANT
2 VERY IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1515
IMPMAR Label: Imp to R of being married
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMPORTANT
2 VERY IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1516
IMPKIDS Label: Imp to R of having children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMPORTANT
2 VERY IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1517
IMPGOD Label: Imp to R of having faith in god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMPORTANT
2 VERY IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1518
IMPTHNGS Label: Imp to R of having nice things
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Disagree
2 Disagree
3 Neither agree nor disagree
4 Agree
5 Strongly disagree
8 DON'T KNOW
9 No answer
1519
IMPCULTR Label: Imp to R of being cultured
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMPORTANT
2 VERY IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1520
IMPJOB Label: Imp to R of having a fulfilling job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMPORTANT
2 VERY IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1521
IMPSELF Label: Imp to R of being self-sufficient
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF MOST IMPORTANT
2 VERY IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT TOO IMPORTANT
5 NOT AT ALL IMPORTANT
8 DK
9 NA
1522
MOSTIMP1 Label: Most imp event in Lst 60 yrs
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
990 OTHER
995 PERSONAL
996 NONE, NO EVENT
998 DK
999 NA
1523
MOSTIMP2 Label: 2nd most imp event in Lst 60 yrs
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
990 OTHER
995 PERSONAL
996 NONE, NO EVENT
998 DK
999 NA
1524
MOSTIMP3 Label: 3rd imp event in Lst 60 yrs
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
990 OTHER
995 PERSONAL
996 NONE, NO EVENT
998 DK
999 NA
1525
MOSTIMP4 Label: 4th imp event in Lst 60 yrs
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
990 OTHER
995 PERSONAL
996 NONE, NO EVENT
998 DK
999 NA
1526
COLMAJR1 Label: R major in college
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NONE
1 ENGLISH, LITERATURE
2 FOREIGN LANGUAGE
3 FINE ARTS
4 OTHER HUMANITIES
5 ECONOMICS
6 PSYCHOLOGY
7 GOVERNMENT-CIVICS
8 SOCIAL SCIENCE-OTHER SOCIAL STUDY
9 MATHEMATICS
10 SCIENCE
11 OTHER
12 BUSINESS
13 EDUCATION
14 ENGINEERING
15 OTHER VOCATIONAL
99 NA
1527
COLMAJR2 Label: R 2nd major in college
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP, NO 2ND MENTION
0 NONE
1 ENGLISH, LITERATURE
2 FOREIGN LANGUAGE
3 FINE ARTS
4 OTHER HUMANITIES
5 ECONOMICS
6 PSYCHOLOGY
7 GOVERNMENT-CIVICS
8 SOCIAL SCIENCE-OTHER SOCIAL STUDY
9 MATHEMATICS
10 SCIENCE
11 OTHER
12 BUSINESS
13 EDUCATION
14 ENGINEERING
15 OTHER VOCATIONAL
99 NA
1528
HSCLASS1 Label: R favorite subject in hs
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NONE
1 ENGLISH, LITERATURE
2 FOREIGN LANGUAGE
3 FINE ARTS
4 OTHER HUMANITIES
5 ECONOMICS
6 PSYCHOLOGY
7 GOVERNMENT-CIVICS
8 SOCIAL SCIENCE-OTHER SOCIAL STUDY
9 MATHEMATICS
10 SCIENCE
11 OTHER
12 BUSINESS
13 EDUCATION
14 ENGINEERING
15 OTHER VOCATIONAL
99 NA
1529
HSCLASS2 Label: R 2nd favorite subject in hs
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP, NO 2ND MENTION
0 NONE
1 ENGLISH, LITERATURE
2 FOREIGN LANGUAGE
3 FINE ARTS
4 OTHER HUMANITIES
5 ECONOMICS
6 PSYCHOLOGY
7 GOVERNMENT-CIVICS
8 SOCIAL SCIENCE-OTHER SOCIAL STUDY
9 MATHEMATICS
10 SCIENCE
11 OTHER
12 BUSINESS
13 EDUCATION
14 ENGINEERING
15 OTHER VOCATIONAL
99 NA
1530
MALIVE1 Label: R mother alive
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1531
MAYRBORN Label: Yr R mother born
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1532
MAYRDIED Label: Yr R mother died
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1533
PALIVE1 Label: R father alive
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1534
PAYRBORN Label: Yr R father born
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1535
PAYRDIED Label: Yr R father died
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1536
DATESCH Label: Date schooling completed
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1537
NEVERWK Label: R never worked full-time after school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER WORKED
2 WORKED
8 DK
9 NA
1538
OCCFIRST Label: R first occupation
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1539
PRESFRST Label: Prestige of R first job
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
1540
WRKSLFST Label: R 1st job: self-employed or no?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
1541
INDFIRST Label: Industry of R first job
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1542
DATEFRST Label: Month and yr began first job
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1543
ALIKE1 Label: How alike: orange & banana
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1544
ALIKE2 Label: How alike: dog & lion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1545
ALIKE3 Label: How alike: eye & ear
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1546
ALIKE4 Label: How alike: egg & seed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1547
ALIKE5 Label: How alike: table & chair
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1548
ALIKE6 Label: How alike: work & play
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1549
ALIKE7 Label: How alike: fly & tree
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1550
ALIKE8 Label: How alike: praise & punishment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 COMPLETELY WRONG
1 PARTIALLY RIGHT
2 COMPLETELY RIGHT
8 DK
9 NA
1551
MARNUM Label: R married more than once?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1552
FSTSPYR Label: Year first spouse born
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1553
FSTSPEDC Label: Educ of first spouse
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 97; 98; 99
Value Label
97 IAP
98 DK
99 NA
1554
FSTSPDEG Label: Highest degree of first spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7; 8; 9
Value Label
0 LT HIGH SCHOOL
1 HIGH SCHOOL
2 JUNIOR COLLEGE
3 BACHELOR
4 GRADUATE
7 IAP
8 DK
9 NA
1555
FSTSPPED Label: 1st spouse's Father's highest yr of school
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
97 IAP
98 DK
99 NA
1556
FSTSPMED Label: 1st spouse's Mothers highest yr of school
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
97 IAP
98 DK
99 NA
1557
AGEWEDCR Label: R's age at current marriage
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
1558
SPYRBORN Label: Birth yr of current spouse
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
1559
SPMARNUM Label: Has current spouse been married before?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1560
SPFAM16 Label: Did spouse live at home at age 16?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 OTHER
1 BOTH OWN MOTHER AND FATHER
2 FATHER AND STEPMOTHER
3 MOTHER AND STEPFATHER
4 FATHER-NO MOTHER OR STEPMOTHER
5 MOTHER-NO FATHER OR STEPFATHER
6 SOME OTHER MALE RELATIVE -NO FEMALE HEAD-
7 SOME OTHER FEMALE RELATIVE -NO MALE HEAD-
8 OTHER, WITH BOTH MALE AND FEMALE RELATIVES
9 NA
1561
SPPAEDUC Label: Highest schl grade spouse's father completed
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1562
SPMAEDUC Label: Highest schl grade spouse's mother completed
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1563
SPHEDOCC Label: Spouse's Father's occ when spouse was 16
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1564
SPHEDPRE Label: Spouse's Father's occ pres when spouse was 16 (1980)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
1565
SPHEDSLF Label: Spouse's father self-emp when spouse was 16?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
1566
SPHEDIND Label: Spouse's Father's ind when spouse was 16
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
1567
SPHEDOCC10 Label: Spouse's Father's occ when spouse was 16 (2010)
Format: F8.0
Measure: Scale
Display Width: 12
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers?xtraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers?nstallation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers?roduction workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
1568
SPHEDOCCINDV Label: Spouse's Father's occ/ind verbatim retrieved
Format: F8.0
Measure: Nominal
Display Width: 14
Missing Values: -1
Value Label
-1 IAP
0 No verbatims for sphed
1 Verbatims for sphed
1569
SPHEDOCCSTATUS Label: SPHEDOCC10 coding status
Format: F8.0
Measure: Nominal
Display Width: 16
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
8 Case not collected in 1994
1570
SPHEDOCCTAG Label: SPHEDOCC10 coding tag
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
1571
SPHEDIND10 Label: Spouse's Father's ind when spouse was 16 (2010)
Format: F8.0
Measure: Scale
Display Width: 12
Missing Values: 0; 9998; 9999
Value Label
0 IAP
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9998 DK
9999 NA
1572
SPHEDINDSTATUS Label: SPHEDIND10 coding status
Format: F8.0
Measure: Nominal
Display Width: 16
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
8 Case not collected in 1994
1573
SPHEDINDTAG Label: SPHEDIND10 coding tag
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
1574
SPHEDPRE10 Label: Spouse's Father's occ pres when spouse was 16 (2010)
Format: F8.0
Measure: Scale
Display Width: 12
Missing Values: 0
Value Label
0 IAP,DK,NA
1575
SPHEDPRE105PLUS Label: Spouse's Father's occ pres when spouse was 16 using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 17
Missing Values: 0
Value Label
0 IAP,DK,NA
1576
SPSIBS Label: No of siblings spouse has
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DON'T KNOW
99 NA
1577
KDSEX1 Label: Sex of R 1st child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1578
KDSEX2 Label: Sex of R 2nd child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1579
KDSEX3 Label: Sex of R 3rd child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1580
KDSEX4 Label: Sex of R 4th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1581
KDSEX5 Label: Sex of R 5th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1582
KDSEX6 Label: Sex of R 6th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1583
KDSEX7 Label: Sex of R 7th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1584
KDSEX8 Label: Sex of R 8th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1585
KDSEX9 Label: Sex of R 9th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1586
KDYRBRN1 Label: Birth year of R 1st child
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1587
KDYRBRN2 Label: Birth year of R 2nd child
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1588
KDYRBRN3 Label: Birth year of R 3rd child
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1589
KDYRBRN4 Label: Birth year of R 4th child
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1590
KDYRBRN5 Label: Birth year of R 5th child
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1591
KDYRBRN6 Label: Birth year of R 6th child
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1592
KDYRBRN7 Label: Birth year of R 7th child
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1593
KDYRBRN8 Label: Birth year of R 8th child
Format: F4.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1594
KDYRBRN9 Label: Birth year of R 9th child
Format: F4.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1595
KDREL1 Label: R relation to R 1st child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1596
KDREL2 Label: R relation to R 2nd child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1597
KDREL3 Label: R relation to R 3rd child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1598
KDREL4 Label: R relation to R 4th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1599
KDREL5 Label: R relation to R 5th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1600
KDREL6 Label: R relation to R 6th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1601
KDREL7 Label: R relation to R 7th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1602
KDREL8 Label: R relation to R 8th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1603
KDREL9 Label: R relation to R 9th child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIOLOGICAL
2 ADOPTED
3 STEP
8 DK
9 NA
1604
KDALIVE1 Label: R 1st child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1605
KDALIVE2 Label: R 2nd child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1606
KDALIVE3 Label: R 3rd child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1607
KDALIVE4 Label: R 4th child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1608
KDALIVE5 Label: R 5th child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1609
KDALIVE6 Label: R 6th child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1610
KDALIVE7 Label: R 7th child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1611
KDALIVE8 Label: R 8th child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1612
KDALIVE9 Label: R 9th child alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1613
KDEDUC1 Label: Highest schl grade of R 1st child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1614
KDEDUC2 Label: Highest schl grade of R 2nd child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1615
KDEDUC3 Label: Highest schl grade of R 3rd child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1616
KDEDUC4 Label: Highest schl grade of R 4th child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1617
KDEDUC5 Label: Highest schl grade of R 5th child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1618
KDEDUC6 Label: Highest schl grade of R 6th child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1619
KDEDUC7 Label: Highest schl grade of R 7th child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1620
KDEDUC8 Label: Highest schl grade of R 8th child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1621
KDEDUC9 Label: Highest schl grade of R 9th child
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
1622
KDPICKED Label: Number of child randomly chosen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
1623
KDWORK1 Label: Does R child do paid work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1624
KDWORK2 Label: Does R child do paid or unpaid work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1625
KDEVWORK Label: Did R child work for 1 or more yr?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1626
KDOCC80 Label: R child census occupation code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
3 Legislators
4 Chief Executives and General Admin., Public Admin
5 Administrators and Officials, Public Administration
6 Administrators, Protective Service
7 Financial Managers
8 Personnel and Labor Relations Managers
9 Purchasing Managers
13 Managers, Marketing, Advertising, and Public Relations
14 Administrators, Education and Related Fields
15 Managers, Medicine and Health
16 Managers, Properties and Real Estate
17 Postmasters and Mail Superintendents
18 Funeral Directors
19 Managers and Administrators, n.e.c.
23 Accountants and Auditors
24 Underwriters
25 Other Financial Officers
26 Management Analysts
27 Personnel, Training, and Labor Relations Specialists
28 Purchasing Agents and Buyers, Farm Products
29 Buyers, Wholesale and Retail Trade Except Farm Products
33 Purchasing Agents and Buyers
34 Business and Promotion Agents
35 Construction Inspectors
36 Inspectors/Compliance Officers, Except Construction
37 Management Related Occupations, n.e.c.
43 Architects
44 Aerospace Engineers
45 Metallurgical and Materials Engineers
46 Mining Engineers
47 Petroleum Engineers
48 Chemical Engineers
49 Nuclear Engineers
53 Civil Engineers
54 Agricultural Engineers
55 Electrical and Electronic Engineers
56 Industrial Engineers
57 Mechanical Engineers
58 Marine and Naval Architects
59 Engineers, n.e.c.
63 Surveyors and Mapping Scientists
64 Computer Systems Analysts and Scientists
65 Operations and Systems Researchers and Analysts
66 Actuaries
67 Statisticians
68 Mathematical Scientists, n.e.c.
69 Physicists and Astronomers
73 Chemists, Except Biochemists
74 Atmospheric and Space Scientists
75 Geologists and Geodesists
76 Physical Scientists, n.e.c.
77 Agricultural and Food Scientists
78 Biological and Life Scientists
79 Forestry and Conservation Scientists
83 Medical Scientists
84 Physicians
85 Dentists
86 Veterinarians
87 Optometrists
88 Podiatrists
89 Health Diagnosing Practitioners, n.e.c.
95 Registered Nurses
96 Pharmacists
97 Dietitians
98 Inhalation Therapists
99 Occupational Therapists
103 Physical Therapists
104 Speech Therapists
105 Therapists, n.e.c.
106 Physicians' Assistants
113 Earth, Environmental, and Marine Science Teachers
114 Biological Science Teachers
115 Chemistry Teachers
116 Physics Teachers
117 Natural Science Teachers, n.e.c.
118 Psychology Teachers
119 Economics Teachers
123 History Teachers
124 Political Science Teachers
125 Sociology Teachers
126 Social Science Teachers, n.e.c.
127 Engineering Teachers
128 Mathematical Science Teachers
129 Computer Science Teachers
133 Medical Science Teachers
134 Health Specialties Teachers
135 Business, Commerce, and Marketing Teachers
136 Agriculture and Forestry Teachers
137 Art, Drama, and Music Teachers
138 Physical Education Teachers
139 Education Teachers
143 English Teachers
144 Foreign Language Teachers
145 Law Teachers
146 Social Work Teachers
147 Theology Teachers
148 Trade and Industrial Teachers
149 Home Economics Teachers
153 Teachers, Postsecondary, n.e.c.
154 Postsecondary Teachers, Subject Not Specified
155 Teachers, Prekindergarten and Kindergarten
156 Teachers, Elementary School
157 Teachers, Secondary School
158 Teachers, Special Education
159 Teachers, n.e.c.
163 Counselors, Educational and Vocational
164 Librarians
165 Archivists and Curators
166 Economists
167 Psychologists
168 Sociologists
169 Social Scientists, n.e.c.
173 Urban Planners
174 Social Workers
175 Recreation Workers
176 Clergy
177 Religious Workers, n.e.c.
178 Lawyers
179 Judges
183 Authors
184 Technical Writers
185 Designers
186 Musicians and Composers
187 Actors and Directors
188 Painters, Sculptors, Craft-Artists, and Printmakers
189 Photographers
193 Dancers
194 Artists, Performers, and Related Workers, n.e.c.
195 Editors and Reporters
197 Public Relations Specialists
198 Announcers
199 Athletes
203 Clinical Laboratory Technologists and Technicians
204 Dental Hygienists
205 Health Record Technologists and Technicians
206 Radiologic Technicians
207 Licensed Practical Nurses
208 Health Technologists and Technicians, n.e.c.
213 Electrical and Electronic Technicians
214 Industrial Engineering Technicians
215 Mechanical Engineering Technicians
216 Engineering Technicians, n.e.c.
217 Drafting Occupations
218 Surveying and Mapping Technicians
223 Biological Technicians
224 Chemical Technicians
225 Science Technicians, n.e.c.
226 Airplane Pilots and Navigators
227 Air Traffic Controllers
228 Broadcast Equipment Operators
229 Computer Programmers
233 Tool Programmers, Numerical Control
234 Legal Assistants
235 Technicians, n.e.c.
243 Supervisors and Proprietors, Sales Occupations
253 Insurance Sales Occupations
254 Real Estate Sales Occupations
255 Securities and Financial Services Sales Occupations
256 Advertising and Related Sales Occupations
257 Sales Occupations, Other Business Services
258 Sales Engineers
259 Sales Rep., Mining, Manufacturing, and Wholesale
263 Sales Workers, Motor Vehicles and Boats
264 Sales Workers, Apparel
265 Sales Workers, Shoes
266 Sales Workers, Furniture and Home Furnishings
267 Sales Workers, Radio, TV, Hi-Fi, and Appliances
268 Sales Workers, Hardware and Building Supplies
269 Sales Workers, Parts
274 Sales Workers, Other Commodities
275 Sales Counter Clerks
276 Cashiers
277 Street and Door-To-Door Sales Workers
278 News Vendors
283 Demonstrators, Promoters and Models, Sales
284 Auctioneers
285 Sales Support Occupations, n.e.c.
303 Supervisors, General Office
304 Supervisors, Computer Equipment Operators
305 Supervisors, Financial Records Processing
306 Chief Communications Operators
307 Supervisors, Distribution, Scheduling, and Adjusting Clerks
308 Computer Operators
309 Peripheral Equipment Operators
313 Secretaries
314 Stenographers
315 Typists
316 Interviewers
317 Hotel Clerks
318 Transportation Ticket and Reservation Agents
319 Receptionists
323 Information Clerks, n.e.c.
325 Classified-Ad Clerks
326 Correspondence Clerks
327 Order Clerks
328 Personnel Clerks, Except Payroll and Timekeeping
329 Library Clerks
335 File Clerks
336 Records Clerks
337 Bookkeepers, Accounting and Auditing Clerks
338 Payroll and Timekeeping Clerks
339 Billing Clerks
343 Cost and Rate Clerks
344 Billing, Posting, and Calculating Machine Operators
345 Duplicating Machine Operators
346 Mail Preparing and Paper Handling Machine Operators
347 Office Machine Operators, n.e.c.
348 Telephone Operators
349 Telegraphers
353 Communications Equipment Operators, n.e.c.
354 Postal Clerks, Excluding Mail Carriers
355 Mail Carriers, Postal Service
356 Mail Clerks, Excluding Postal Service
357 Messengers
359 Dispatchers
363 Production Coordinators
364 Traffic, Shipping and Receiving Clerks
365 Stock and Inventory Clerks
366 Meter Readers
368 Weighers, Measurers, and Checkers
369 Samplers
373 Expediters
374 Material Recording, Scheduling and Distributing Clerks, n.e.c.
375 Insurance Adjusters, Examiners, and Investigators
376 Investigators and Adjusters, Except Insurance
377 Eligibility Clerks, Social Welfare
378 Bill and Account Collectors
379 General Office Clerks
383 Bank Tellers
384 Proofreaders
385 Data-Entry Keyers
386 Statistical Clerks
387 Teachers' Aides
389 Administrative Support Occupations, n.e.c.
403 Launderers and Ironers
404 Cooks, Private Household
405 Housekeepers and Butlers
406 Child Care Workers, Private Household
407 Private Household Cleaners and Servants
413 Supervisors, Firefighting and Fire Prevention Occupations
414 Supervisors, Police and Detectives
415 Supervisors, Guards
416 Fire Inspection and Fire Prevention Occupations
417 Firefighting Occupations
418 Police and Detectives, Public Service
423 Sheriffs, Bailiffs, and Other Law Enforcement Officers
424 Correctional Institution Officers
425 Crossing Guards
426 Guards and Police, Excluding Public Service
427 Protective Service Occupations
430 Former Member of the Armed Forces
431 Current Member of the Armed Forces
433 Supervisors, Food Preparation and Service Occupations
434 Bartenders
435 Waiters and Waitresses
436 Cooks, Except Short Order
437 Short-Order Cooks
438 Food Counter, Fountain and Related Occupations
439 Kitchen Workers, Food Preparation
443 Waiters'/Waitresses' Assistants
444 Miscellaneous Food Preparation Occupations
445 Dental Assistants
446 Health Aids, Except Nursing
447 Nursing Aides, Orderlies and Attendants
448 Supervisors, Cleaning and Building Service Workers
449 Maids and Housemen
453 Janitors and Cleaners
454 Elevator Operators
455 Pest Control Occupations
456 Supervisors, Personal Service Occupations
457 Barbers
458 Hairdressers and Cosmetologists
459 Attendants, Amusement and Recreation Facilities
463 Guides
464 Ushers
465 Public Transportation Attendants
466 Baggage Porters and Bellhops
467 Welfare Service Aides
468 Child Care Workers, Except Private Household
469 Personal Service Occupations, n.e.c.
473 Farmers, Except Horticultural
474 Horticultural Specialty Farmers
475 Managers, Farms, Except Horticultural
476 Managers, Horticultural Specialty Farms
477 Supervisors, Farm Workers
479 Farm Workers
483 Marine Life Cultivation Workers
484 Nursery Workers
485 Supervisors, Related Agricultural Occupations
486 Groundskeepers and Gardeners, Except Farm
487 Animal Caretakers, Except Farm
488 Graders and Sorters, Agricultural Products
489 Inspectors, Agricultural Products
494 Supervisors, Forestry and Logging Workers
495 Forestry Workers, Except Logging
496 Timber Cutting and Logging Occupations
497 Captains and Other Officers, Fishing Vessels
498 Fishers
499 Hunters and Trappers
503 Supervisors, Mechanics and Repairers
505 Automobile Mechanics, Except Apprentices
506 Automobile Mechanic Apprentices
507 Bus, Truck, and Stationary Engine Mechanics
508 Aircraft Engine Mechanics
509 Small Engine Repairers
514 Automobile Body and Related Repairers
515 Aircraft Mechanics, Excluding Engine
516 Heavy Equipment Mechanics
517 Farm Equipment Mechanics
518 Industrial Machinery Repairers
519 Machinery Maintenance Occupations
523 Electronic Repairers, Communications and Industrial Equipment
525 Data Processing Equipment Repairers
526 Household Appliance and Power Tool Repairers
527 Telephone Line Installers and Repairers
529 Telephone Installers and Repairers
533 Misc. Electrical and Electronic Equipment Repairers
534 Heating, Air Conditioning, and Refrigeration Mechanics
535 Camera, Watch, and Musical Instrument Repairers
536 Locksmiths and Safe Repairers
538 Office Machine Repairers
539 Mechanical Controls and Valve Repairers
543 Elevator Installers and Repairers
544 Millwrights
547 Specified Mechanics and Repairers, n.e.c.
549 Not Specified Mechanics and Repairers
553 Supervisors, Brickmasons, Stonemasons, and Title Setters
554 Supervisors, Carpenters and Related Work
555 Supervisors, Electricians and Power Transmission Installers
556 Supervisors, Painters, Paperhangers, and Plasterers
557 Supervisors, Plumbers, Pipefitters, and Steamfitters
558 Supervisors, n.e.c.
563 Brickmasons and Stonemasons, Except Apprentices
564 Brickmasons and Stonemasons Apprentices
565 Tile Setters, Hard and Soft
566 Carpet Installers
567 Carpenters, Except Apprentices
569 Carpenter Apprentices
573 Drywall Installers
575 Electricians, Except Apprentices
576 Electrician Apprentices
577 Electrical Power Installers and Repairers
579 Painters, Construction and Maintenance
583 Paperhangers
584 Plasterers
585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices
587 Plumber, Pipefitter, and Steamfitter Apprentices
588 Concrete and Terrazzo Finishers
589 Glaziers
593 Insulation Workers
594 Paving, Surfacing, and Tamping Equipment Operators
595 Roofers
596 Sheetmetal Duct Installers
597 Structural Metal Workers
598 Drillers, Earth
599 Construction Trades, n.e.c.
613 Supervisors, Extractive Occupations
614 Drillers, Oil Well
615 Explosives Workers
616 Mining Machine Operators
617 Mining Occupations, n.e.c.
633 Supervisors, Production Occupations
634 Tool and Die Makers, Except Apprentices
635 Tool and Die Maker Apprentices
636 Precision Assemblers, Metal
637 Machinists, Except Apprentices
639 Machinist Apprentices
643 Boilermakers
644 Precision Grinders, Fitters, and Tool Sharpeners
645 Patternmakers and Model Makers, Metal
646 Lay-Out Workers
647 Precious Stones and Metals Workers
649 Engravers, Metal
653 Sheet Metal Workers, Except Apprentices
654 Sheet Metal Worker, Apprentices
655 Miscellaneous Precision Metal Workers
656 Patternmakers and Model Makers, Wood
657 Cabinet Makers and Bench Carpenters
658 Furniture and Wood Finishers
659 Miscellaneous Precision Woodworkers
666 Dressmakers
667 Tailors
668 Upholsterers
669 Shoe Repairers
673 Apparel and Fabric Patternmakers
674 Miscellaneous Precision Apparel and Fabric Workers
675 Hand Molders and Shapers, Except Jewelers
676 Patternmakers, Lay-Out Workers, and Cutters
677 Optical Goods Workers
678 Dental Laboratory and Medical Appliance Technicians
679 Bookbinders
683 Electrical and Electronic Equipment Assemblers
684 Miscellaneous Precision Workers, n.e.c.
686 Butchers and Meat Cutters
687 Bakers
688 Food Batchmakers
689 Inspectors, Testers, and Graders
693 Adjusters and Calibrators
694 Water and Sewage Treatment Plant Operators
695 Power Plant Operators
696 Stationary Engineers
699 Miscellaneous Plant and System Operators
703 Lathe and Turning Machine Set-Up Operators
704 Lathe and Turning Machine Operators
705 Milling and Planing Machine Operators
706 Punching and Stamping Press Machine Operators
707 Rolling Machine Operators
708 Drilling and Boring Machine Operators
709 Grinding, Abrading, Buffing, and Polishing Machine Operators
713 Forging Machine Operators
715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators
717 Fabricating Machine Operators, n.e.c.
719 Molding and Casting Machine Operators
723 Metal Plating Machine Operators
724 Heat Treating Equipment Operators
725 Miscellaneous Metal and Plastic Processing Machine Operators
726 Wood Lathe, Routing and Planing Machine Operators
727 Sawing Machine Operators
728 Shaping and Joining Machine Operators
729 Nailing and Tacking Machine Operators
733 Miscellaneous Woodworking Machine Operators
734 Printing Machine Operators
735 Photoengravers and Lithographers
736 Typesetters and Compositors
737 Miscellaneous Printing Machine Operators
738 Winding and Twisting Machine Operators
739 Knitting, Looping, Taping, and Weaving Machine Operators
743 Textile Cutting Machine Operators
744 Textile Sewing Machine Operators
745 Shoe Machine Operators
747 Pressing Machine Operators
748 Laundering and Dry Cleaning Machine Operators
749 Miscellaneous Textile Machine Operators
753 Cementing and Gluing Machine Operators
754 Packaging and Filling Machine Operators
755 Extruding and Forming Machine Operators
756 Mixing and Blending Machine Operators
757 Separating, Filtering, and Clarifying Machine Operators
758 Compressing and Compacting Machine Operators
759 Painting and Paint Spraying Machine Operators
763 Roasting and Baking Machine Operators, Food
764 Washing, Cleaning, and Pickling Machine Operators
765 Folding Machine Operators
766 Furnace, Kiln, and Oven Operators, Except Food
768 Crushing and Grinding Machine Operators
769 Slicing and Cutting Machine Operators
773 Motion Picture Projectionists
774 Photographic Process Machine Operators
777 Miscellaneous and Not Specified Machine Operators, n.e.c.
779 Machine Operators, Not Specified
783 Welders and Cutters
784 Solderers and Blazers
785 Assemblers
786 Hand Cutting and Trimming Occupations
787 Hand Molding, Casting, and Forming Occupations
789 Hand Painting,Coating, and Decorating Occupations
793 Hand Engraving and Printing Occupations
794 Hand Grinding and Polishing Occupations
795 Miscellaneous Hand Working Occupations
796 Production Inspectors, Checkers, and Examiners
797 Production Testers
798 Production Samplers and Weighers
799 Graders and Sorters, Except Agricultural
803 Supervisors, Motor Vehicle Operators
804 Truck Drivers, Heavy
805 Truck Drivers, Light
806 Driver-Sales Workers
808 Bus Drivers
809 Taxicab Drivers and Chauffeurs
813 Parking Lot Attendants
814 Motor Transportation Occupations, n.e.c.
823 Railroad Conductors and Yardmasters
824 Locomotive Operating Occupations
825 Railroad Brake, Signal, and Switch Operators
826 Rail Vehicle Operators, n.e.c.
828 Ship Captains and Mates, Except Fishing Boats
829 Sailors and Deckhands
833 Marine Engineers
834 Bridge, Lock and Lighthouse Tenders
843 Supervisors, Material Moving Equipment Operators
844 Operating Engineers
845 Longshore Equipment Operators
848 Hoist and Winch Operators
849 Crane and Tower Operators
853 Excavating and Loading Machine Operators
855 Grader, Dozer, and Scraper Operators
856 Industrial Truck and Tractor Equipment Operators
859 Miscellaneous Material Moving Equipment Operators
863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c.
864 Helpers, Mechanics and Repairers
865 Helpers, Construction Trades
866 Helpers, Surveyor
867 Helpers, Extractive Occupations
869 Construction Laborers
873 Production Helpers
875 Garbage Collectors
876 Stevedores
877 Stock Handlers and Baggers
878 Machine Feeders and Offbearers
883 Freight, Stock, and Material Handlers, n.e.c.
885 Garage and Service Station Related Occupations
887 Vehicle Washers and Equipment Cleaners
888 Hand Packers and Packagers
889 Laborers, Except Construction
998 DK
999 NA
1627
KDPRES80 Label: R child occupational prestige score (1980)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
1628
KDWRKSLF Label: R child self-employed?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
1629
KDIND80 Label: R child industry code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
10 Agricultural production, crops
11 Agricultural production, livestock
20 Agricultural services, except horticultural
21 Horticultural services
30 Forestry
31 Fishing, hunting, and trapping, etc.
40 Metal mining
41 Coal mining
42 Crude petroleum and natural gas extraction
50 Nonmetallic mining and quarrying, except fuel
60 CONSTRUCTION
100 Meat products
101 Dairy products
102 Canned and preserved fruits and vegetables
110 Grain mill products
111 Bakery products
112 Sugar and confectionery products
120 Beverage industries
121 Miscellaneous food preparations and kindred products
122 Not specified food industries
130 Tobacco manufactures
132 Knitting mills
140 Dyeing and finishing textiles, except wool and knit goods
141 Floor coverings, except hard surface
142 Yarn, thread, and fabric mills
150 Miscellaneous textile mill products
151 Apparel and accessories, except knit
152 Miscellaneous fabricated textile products
160 Pulp, paper, and paperboard mills
161 Miscellaneous paper and pulp products
162 Paperboard containers and boxes
171 Newspaper publishing and printing
172 Printing, publishing, and allied industries, except newspapers
180 Plastics, synthetics, and resins
181 Drugs
182 Soaps and cosmetics
185 Paints, varnishes, and related products
190 Agricultural chemicals
191 Industrial and miscellaneous chemicals
192 Petroleum and coal products
200 Petroleum refining
201 Miscellaneous petroleum and coal products
210 Tires and inner tubes
211 Other rubber products, and plastics footwear and belting
212 Miscellaneous plastics products
220 Leather tanning and finishing
221 Footwear, except rubber and plastic
222 Leather products, except footwear
230 Logging
231 Sawmills, planning mills, and millwork
232 Wood buildings and mobile homes
241 Miscellaneous wood products
242 Furniture and fixtures
250 Glass and glass products
251 Cement, concrete, gypsum, and plaster products
252 Structural clay products
261 Pottery and related products
262 Miscellaneous nonmetallic mineral and stone products
270 Blast furnaces, steelworks, rolling and finishing mills
271 Iron and steel foundries
272 Primary aluminum industries
280 Other primary metal industries
281 Cutlery, hand tools, and other hardware
282 Fabricated structural metal products
290 Screw machine products
291 Metal forgings and stampings
292 Ordnance
300 Miscellaneous fabricated metal products
301 Not specified metal industries
310 Engines and turbines
311 Farm machinery and equipment
312 Construction and material handling machines
320 Metalworking machinery
321 Office and accounting machines
322 Electronic computing equipment
331 Machinery, except electrical, n.e.c.
332 Not specified machinery
340 Household appliances
341 Radio, TV, and communication equipment
342 Electrical machinery, equipment, and supplies, n.e.c.
350 Not specified electrical machinery, equipment, and supplies
351 Motor vehicles and motor vehicle equipment
352 Aircraft and parts
360 Ship and boat building and repairing
361 Railroad locomotives and equipment
362 Guided missiles, space vehicles, and parts
370 Cycles and miscellaneous transportation equipment
371 Scientific and controlling instruments
372 Optical and health services supplies
380 Photographic equipment and supplies
381 Watches, clocks, and clockwork operated devices
382 Not specified professional equipment
390 Toys, amusement, and sporting goods
391 Miscellaneous manufacturing industries
392 Not specified manufacturing industries
400 Railroads
401 Bus service and urban transit
402 Taxicab service
410 Trucking service
411 Warehousing and storage
412 U.S. Postal Service
420 Water transportation
421 Air transportation
422 Pipe lines, except natural gas
432 Services incidental to transportation
440 Radio and television broadcasting
441 Telephone (wire and radio)
442 Telegraph and miscellaneous communication service
460 Electric light and power
461 Gas and steam supply systems
462 Electric and gas, and other combinations
470 Water supply and irrigation
471 Sanitary services
472 Not specified utilities
500 Motor vehicles and equipment
501 Furniture and home furnishings
502 Lumber and construction materials
510 Sporting goods, toys, and hobby goods
511 Metals and minerals, except petroleum
512 Electrical goods
521 Hardware, plumbing and heating supplies
522 Not specified electrical and hardware products
530 Machinery, equipment, and supplies
531 Scrap and waste materials
532 Miscellaneous wholesale, durable goods
540 Paper and paper products
541 Drugs, chemicals, and allied products
542 Apparel, fabrics, and notions
550 Groceries and related products
551 Farm products-raw materials
552 Petroleum products
560 Alcoholic beverages
561 Farm supplies
562 Miscellaneous wholesale, nondurable goods
571 Not specified wholesale trade
580 Lumber and building material retailing
581 Hardware stores
582 Retail nurseries and garden stores
590 Mobile home dealers
591 Department stores
592 Variety stores
600 Miscellaneous general merchandise stores
601 Grocery stores
602 Dairy products stores
610 Retail bakeries
611 Food stores, n.e.c.
612 Motor vehicle dealers
620 Auto and home supply stores
621 Gasoline service stations
622 Miscellaneous vehicle dealers
630 Apparel and accessory stores, except shoe
631 Shoe stores
632 Furniture and home furnishings stores
640 Household appliances, TV, and radio stores
641 Eating and drinking places
642 Drug stores
650 Liquor stores
651 Sporting goods, bicycles, and hobby stores
652 Book and stationery stores
660 Jewelry stores
661 Sewing, needlework, and piece goods stores
662 Mail order houses
670 Vending machine operators
671 Direct selling establishments
672 Fuel and ice dealers
681 Retail florists
682 Miscellaneous retail stores
691 Not specified retail trade
700 Banking
701 Savings and loan associations
702 Credit agencies, n.e.c.
710 Security, commodity brokerage, and investment companies
711 Insurance
712 Real estate, including real estate-insurance-law offices
721 Advertising
722 Services to dwellings and other buildings
730 Commercial research, development, and testing labs
731 Personnel supply services
732 Business management and consulting services
740 Computer and data processing services
741 Detective and protective services
742 Business services, n.e.c.
750 Automotive services, except repair
751 Automotive repair shops
752 Electrical repair shops
760 Miscellaneous repair services
761 Private households
762 Hotels and motels
770 Lodging places, except hotels and motels
771 Laundry, cleaning, and garment services
772 Beauty shops
780 Barber shops
781 Funeral service and crematories
782 Shoe repair shops
790 Dressmaking shops
791 Miscellaneous personal services
800 Theaters and motion pictures
801 Bowling alleys, billiard and pool parlors
802 Miscellaneous entertainment and recreation services
812 Offices of physicians
820 Offices of dentists
821 Offices of chiropractors
822 Offices of optometrists
830 Offices of health practitioners, n.e.c.
831 Hospitals
832 Nursing and personal care facilities
840 Health services, n.e.c.
841 Legal services
842 Elementary and secondary schools
850 Colleges and universities
851 Business, trade, and vocational schools
852 Libraries
860 Educational services, n.e.c.
861 Job training and vocational rehabilitation services
862 Child day care services
870 Residential care facilities, without nursing
871 Social services, n.e.c.
872 Museums, art galleries and zoos
880 Religious organizations
881 Membership organizations
882 Engineering, architectural, and surveying services
890 Accounting, auditing, and bookkeeping services
891 Noncommercial educational and scientific research
892 Miscellaneous professional and related services
900 Executive and legislative offices
901 General government, n.e.c.
910 Justice, public order, and safety
921 Public finance, taxation, and monetary policy
922 Administration of human resources programs
930 Administration of environmental quality and household programs
931 Administration of economic programs
932 National security and international affairs
998 DK
999 NA
1630
KDOCC10 Label: R child census occupation code (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers?xtraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers?nstallation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers?roduction workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
1631
KDOCCINDV Label: Kid's occ/ind verbatim retrieved
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1
Value Label
-1 IAP
0 No verbatims for kd
1 Verbatims for kd
1632
KDOCCSTATUS Label: KDOCC10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
8 Case not collected in 1994
1633
KDOCCTAG Label: KDOCC10 coding tag
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
1634
KDIND10 Label: R child census industry code (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9998 DK
9999 NA
1635
KDINDSTATUS Label: KDIND10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
8 Case not collected in 1994
1636
KDINDTAG Label: KDIND10 coding tag
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
1637
KDPRES10 Label: R child occupational prestige score (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0
Value Label
0 IAP,DK,NA
1638
KDPRES105PLUS Label: R child occupational prestige score using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 15
Missing Values: 0
Value Label
0 IAP,DK,NA
1639
SBSEX1 Label: Sex of R 1st sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1640
SBSEX2 Label: Sex of R 2nd sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1641
SBSEX3 Label: Sex of R 3rd sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1642
SBSEX4 Label: Sex of R 4th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1643
SBSEX5 Label: Sex of R 5th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1644
SBSEX6 Label: Sex of R 6th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1645
SBSEX7 Label: Sex of R 7th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1646
SBSEX8 Label: Sex of R 8th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1647
SBSEX9 Label: Sex of R 9th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
1648
SBYRBRN1 Label: Birth year of R 1st sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1649
SBYRBRN2 Label: Birth year of R 2nd sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1650
SBYRBRN3 Label: Birth year of R 3rd sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1651
SBYRBRN4 Label: Birth year of R 4th sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1652
SBYRBRN5 Label: Birth year of R 5th sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1653
SBYRBRN6 Label: Birth year of R 6th sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1654
SBYRBRN7 Label: Birth year of R 7th sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1655
SBYRBRN8 Label: Birth year of R 8th sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1656
SBYRBRN9 Label: Birth year of R 9th sibling
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9996 BEFORE 1976
9998 DK
9999 NA
1657
SBREL1 Label: R relation to R 1st sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1658
SBREL2 Label: R relation to R 2nd sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1659
SBREL3 Label: R relation to R 3rd sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1660
SBREL4 Label: R relation to R 4th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1661
SBREL5 Label: R relation to R 5th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1662
SBREL6 Label: R relation to R 6th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1663
SBREL7 Label: R relation to R 7th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1664
SBREL8 Label: R relation to R 8th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1665
SBREL9 Label: R relation to R 9th sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FULL
2 ADOPTED
3 STEP
4 HALF
8 DK
9 NA
1666
SBALIVE1 Label: R 1st sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1667
SBALIVE2 Label: R 2nd sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1668
SBALIVE3 Label: R 3rd sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1669
SBALIVE4 Label: R 4th sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1670
SBALIVE5 Label: R 5th sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1671
SBALIVE6 Label: R 6th sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1672
SBALIVE7 Label: R 7th sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1673
SBALIVE8 Label: R 8th sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1674
SBALIVE9 Label: R 9th sibling alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1675
SBPICKED Label: Number of sibling randomly chosen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 IAP
1676
SBEDUC Label: Highest schl grade of selected R sibling
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 97; 98; 99
Value Label
97 IAP
98 DK
99 NA
1677
SBDEG Label: Highest schl grade of selected R sibling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 7; 8; 9
Value Label
0 LT HIGH SCHOOL
1 HIGH SCHOOL
2 JUNIOR COLLEGE
3 BACHELOR
4 GRADUATE
7 IAP
8 DK
9 NA
1678
SBWORK1 Label: Does R sibling do paid work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1679
SBWORK2 Label: Does R sibling do paid or unpaid work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1680
SBEVWORK Label: Did R sibling work for 1 or more yr?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1681
SBOCC80 Label: R sibling census occupation code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
3 Legislators
4 Chief Executives and General Admin., Public Admin
5 Administrators and Officials, Public Administration
6 Administrators, Protective Service
7 Financial Managers
8 Personnel and Labor Relations Managers
9 Purchasing Managers
13 Managers, Marketing, Advertising, and Public Relations
14 Administrators, Education and Related Fields
15 Managers, Medicine and Health
16 Managers, Properties and Real Estate
17 Postmasters and Mail Superintendents
18 Funeral Directors
19 Managers and Administrators, n.e.c.
23 Accountants and Auditors
24 Underwriters
25 Other Financial Officers
26 Management Analysts
27 Personnel, Training, and Labor Relations Specialists
28 Purchasing Agents and Buyers, Farm Products
29 Buyers, Wholesale and Retail Trade Except Farm Products
33 Purchasing Agents and Buyers
34 Business and Promotion Agents
35 Construction Inspectors
36 Inspectors/Compliance Officers, Except Construction
37 Management Related Occupations, n.e.c.
43 Architects
44 Aerospace Engineers
45 Metallurgical and Materials Engineers
46 Mining Engineers
47 Petroleum Engineers
48 Chemical Engineers
49 Nuclear Engineers
53 Civil Engineers
54 Agricultural Engineers
55 Electrical and Electronic Engineers
56 Industrial Engineers
57 Mechanical Engineers
58 Marine and Naval Architects
59 Engineers, n.e.c.
63 Surveyors and Mapping Scientists
64 Computer Systems Analysts and Scientists
65 Operations and Systems Researchers and Analysts
66 Actuaries
67 Statisticians
68 Mathematical Scientists, n.e.c.
69 Physicists and Astronomers
73 Chemists, Except Biochemists
74 Atmospheric and Space Scientists
75 Geologists and Geodesists
76 Physical Scientists, n.e.c.
77 Agricultural and Food Scientists
78 Biological and Life Scientists
79 Forestry and Conservation Scientists
83 Medical Scientists
84 Physicians
85 Dentists
86 Veterinarians
87 Optometrists
88 Podiatrists
89 Health Diagnosing Practitioners, n.e.c.
95 Registered Nurses
96 Pharmacists
97 Dietitians
98 Inhalation Therapists
99 Occupational Therapists
103 Physical Therapists
104 Speech Therapists
105 Therapists, n.e.c.
106 Physicians' Assistants
113 Earth, Environmental, and Marine Science Teachers
114 Biological Science Teachers
115 Chemistry Teachers
116 Physics Teachers
117 Natural Science Teachers, n.e.c.
118 Psychology Teachers
119 Economics Teachers
123 History Teachers
124 Political Science Teachers
125 Sociology Teachers
126 Social Science Teachers, n.e.c.
127 Engineering Teachers
128 Mathematical Science Teachers
129 Computer Science Teachers
133 Medical Science Teachers
134 Health Specialties Teachers
135 Business, Commerce, and Marketing Teachers
136 Agriculture and Forestry Teachers
137 Art, Drama, and Music Teachers
138 Physical Education Teachers
139 Education Teachers
143 English Teachers
144 Foreign Language Teachers
145 Law Teachers
146 Social Work Teachers
147 Theology Teachers
148 Trade and Industrial Teachers
149 Home Economics Teachers
153 Teachers, Postsecondary, n.e.c.
154 Postsecondary Teachers, Subject Not Specified
155 Teachers, Prekindergarten and Kindergarten
156 Teachers, Elementary School
157 Teachers, Secondary School
158 Teachers, Special Education
159 Teachers, n.e.c.
163 Counselors, Educational and Vocational
164 Librarians
165 Archivists and Curators
166 Economists
167 Psychologists
168 Sociologists
169 Social Scientists, n.e.c.
173 Urban Planners
174 Social Workers
175 Recreation Workers
176 Clergy
177 Religious Workers, n.e.c.
178 Lawyers
179 Judges
183 Authors
184 Technical Writers
185 Designers
186 Musicians and Composers
187 Actors and Directors
188 Painters, Sculptors, Craft-Artists, and Printmakers
189 Photographers
193 Dancers
194 Artists, Performers, and Related Workers, n.e.c.
195 Editors and Reporters
197 Public Relations Specialists
198 Announcers
199 Athletes
203 Clinical Laboratory Technologists and Technicians
204 Dental Hygienists
205 Health Record Technologists and Technicians
206 Radiologic Technicians
207 Licensed Practical Nurses
208 Health Technologists and Technicians, n.e.c.
213 Electrical and Electronic Technicians
214 Industrial Engineering Technicians
215 Mechanical Engineering Technicians
216 Engineering Technicians, n.e.c.
217 Drafting Occupations
218 Surveying and Mapping Technicians
223 Biological Technicians
224 Chemical Technicians
225 Science Technicians, n.e.c.
226 Airplane Pilots and Navigators
227 Air Traffic Controllers
228 Broadcast Equipment Operators
229 Computer Programmers
233 Tool Programmers, Numerical Control
234 Legal Assistants
235 Technicians, n.e.c.
243 Supervisors and Proprietors, Sales Occupations
253 Insurance Sales Occupations
254 Real Estate Sales Occupations
255 Securities and Financial Services Sales Occupations
256 Advertising and Related Sales Occupations
257 Sales Occupations, Other Business Services
258 Sales Engineers
259 Sales Rep., Mining, Manufacturing, and Wholesale
263 Sales Workers, Motor Vehicles and Boats
264 Sales Workers, Apparel
265 Sales Workers, Shoes
266 Sales Workers, Furniture and Home Furnishings
267 Sales Workers, Radio, TV, Hi-Fi, and Appliances
268 Sales Workers, Hardware and Building Supplies
269 Sales Workers, Parts
274 Sales Workers, Other Commodities
275 Sales Counter Clerks
276 Cashiers
277 Street and Door-To-Door Sales Workers
278 News Vendors
283 Demonstrators, Promoters and Models, Sales
284 Auctioneers
285 Sales Support Occupations, n.e.c.
303 Supervisors, General Office
304 Supervisors, Computer Equipment Operators
305 Supervisors, Financial Records Processing
306 Chief Communications Operators
307 Supervisors, Distribution, Scheduling, and Adjusting Clerks
308 Computer Operators
309 Peripheral Equipment Operators
313 Secretaries
314 Stenographers
315 Typists
316 Interviewers
317 Hotel Clerks
318 Transportation Ticket and Reservation Agents
319 Receptionists
323 Information Clerks, n.e.c.
325 Classified-Ad Clerks
326 Correspondence Clerks
327 Order Clerks
328 Personnel Clerks, Except Payroll and Timekeeping
329 Library Clerks
335 File Clerks
336 Records Clerks
337 Bookkeepers, Accounting and Auditing Clerks
338 Payroll and Timekeeping Clerks
339 Billing Clerks
343 Cost and Rate Clerks
344 Billing, Posting, and Calculating Machine Operators
345 Duplicating Machine Operators
346 Mail Preparing and Paper Handling Machine Operators
347 Office Machine Operators, n.e.c.
348 Telephone Operators
349 Telegraphers
353 Communications Equipment Operators, n.e.c.
354 Postal Clerks, Excluding Mail Carriers
355 Mail Carriers, Postal Service
356 Mail Clerks, Excluding Postal Service
357 Messengers
359 Dispatchers
363 Production Coordinators
364 Traffic, Shipping and Receiving Clerks
365 Stock and Inventory Clerks
366 Meter Readers
368 Weighers, Measurers, and Checkers
369 Samplers
373 Expediters
374 Material Recording, Scheduling and Distributing Clerks, n.e.c.
375 Insurance Adjusters, Examiners, and Investigators
376 Investigators and Adjusters, Except Insurance
377 Eligibility Clerks, Social Welfare
378 Bill and Account Collectors
379 General Office Clerks
383 Bank Tellers
384 Proofreaders
385 Data-Entry Keyers
386 Statistical Clerks
387 Teachers' Aides
389 Administrative Support Occupations, n.e.c.
403 Launderers and Ironers
404 Cooks, Private Household
405 Housekeepers and Butlers
406 Child Care Workers, Private Household
407 Private Household Cleaners and Servants
413 Supervisors, Firefighting and Fire Prevention Occupations
414 Supervisors, Police and Detectives
415 Supervisors, Guards
416 Fire Inspection and Fire Prevention Occupations
417 Firefighting Occupations
418 Police and Detectives, Public Service
423 Sheriffs, Bailiffs, and Other Law Enforcement Officers
424 Correctional Institution Officers
425 Crossing Guards
426 Guards and Police, Excluding Public Service
427 Protective Service Occupations
430 Former Member of the Armed Forces
431 Current Member of the Armed Forces
433 Supervisors, Food Preparation and Service Occupations
434 Bartenders
435 Waiters and Waitresses
436 Cooks, Except Short Order
437 Short-Order Cooks
438 Food Counter, Fountain and Related Occupations
439 Kitchen Workers, Food Preparation
443 Waiters'/Waitresses' Assistants
444 Miscellaneous Food Preparation Occupations
445 Dental Assistants
446 Health Aids, Except Nursing
447 Nursing Aides, Orderlies and Attendants
448 Supervisors, Cleaning and Building Service Workers
449 Maids and Housemen
453 Janitors and Cleaners
454 Elevator Operators
455 Pest Control Occupations
456 Supervisors, Personal Service Occupations
457 Barbers
458 Hairdressers and Cosmetologists
459 Attendants, Amusement and Recreation Facilities
463 Guides
464 Ushers
465 Public Transportation Attendants
466 Baggage Porters and Bellhops
467 Welfare Service Aides
468 Child Care Workers, Except Private Household
469 Personal Service Occupations, n.e.c.
473 Farmers, Except Horticultural
474 Horticultural Specialty Farmers
475 Managers, Farms, Except Horticultural
476 Managers, Horticultural Specialty Farms
477 Supervisors, Farm Workers
479 Farm Workers
483 Marine Life Cultivation Workers
484 Nursery Workers
485 Supervisors, Related Agricultural Occupations
486 Groundskeepers and Gardeners, Except Farm
487 Animal Caretakers, Except Farm
488 Graders and Sorters, Agricultural Products
489 Inspectors, Agricultural Products
494 Supervisors, Forestry and Logging Workers
495 Forestry Workers, Except Logging
496 Timber Cutting and Logging Occupations
497 Captains and Other Officers, Fishing Vessels
498 Fishers
499 Hunters and Trappers
503 Supervisors, Mechanics and Repairers
505 Automobile Mechanics, Except Apprentices
506 Automobile Mechanic Apprentices
507 Bus, Truck, and Stationary Engine Mechanics
508 Aircraft Engine Mechanics
509 Small Engine Repairers
514 Automobile Body and Related Repairers
515 Aircraft Mechanics, Excluding Engine
516 Heavy Equipment Mechanics
517 Farm Equipment Mechanics
518 Industrial Machinery Repairers
519 Machinery Maintenance Occupations
523 Electronic Repairers, Communications and Industrial Equipment
525 Data Processing Equipment Repairers
526 Household Appliance and Power Tool Repairers
527 Telephone Line Installers and Repairers
529 Telephone Installers and Repairers
533 Misc. Electrical and Electronic Equipment Repairers
534 Heating, Air Conditioning, and Refrigeration Mechanics
535 Camera, Watch, and Musical Instrument Repairers
536 Locksmiths and Safe Repairers
538 Office Machine Repairers
539 Mechanical Controls and Valve Repairers
543 Elevator Installers and Repairers
544 Millwrights
547 Specified Mechanics and Repairers, n.e.c.
549 Not Specified Mechanics and Repairers
553 Supervisors, Brickmasons, Stonemasons, and Title Setters
554 Supervisors, Carpenters and Related Work
555 Supervisors, Electricians and Power Transmission Installers
556 Supervisors, Painters, Paperhangers, and Plasterers
557 Supervisors, Plumbers, Pipefitters, and Steamfitters
558 Supervisors, n.e.c.
563 Brickmasons and Stonemasons, Except Apprentices
564 Brickmasons and Stonemasons Apprentices
565 Tile Setters, Hard and Soft
566 Carpet Installers
567 Carpenters, Except Apprentices
569 Carpenter Apprentices
573 Drywall Installers
575 Electricians, Except Apprentices
576 Electrician Apprentices
577 Electrical Power Installers and Repairers
579 Painters, Construction and Maintenance
583 Paperhangers
584 Plasterers
585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices
587 Plumber, Pipefitter, and Steamfitter Apprentices
588 Concrete and Terrazzo Finishers
589 Glaziers
593 Insulation Workers
594 Paving, Surfacing, and Tamping Equipment Operators
595 Roofers
596 Sheetmetal Duct Installers
597 Structural Metal Workers
598 Drillers, Earth
599 Construction Trades, n.e.c.
613 Supervisors, Extractive Occupations
614 Drillers, Oil Well
615 Explosives Workers
616 Mining Machine Operators
617 Mining Occupations, n.e.c.
633 Supervisors, Production Occupations
634 Tool and Die Makers, Except Apprentices
635 Tool and Die Maker Apprentices
636 Precision Assemblers, Metal
637 Machinists, Except Apprentices
639 Machinist Apprentices
643 Boilermakers
644 Precision Grinders, Fitters, and Tool Sharpeners
645 Patternmakers and Model Makers, Metal
646 Lay-Out Workers
647 Precious Stones and Metals Workers
649 Engravers, Metal
653 Sheet Metal Workers, Except Apprentices
654 Sheet Metal Worker, Apprentices
655 Miscellaneous Precision Metal Workers
656 Patternmakers and Model Makers, Wood
657 Cabinet Makers and Bench Carpenters
658 Furniture and Wood Finishers
659 Miscellaneous Precision Woodworkers
666 Dressmakers
667 Tailors
668 Upholsterers
669 Shoe Repairers
673 Apparel and Fabric Patternmakers
674 Miscellaneous Precision Apparel and Fabric Workers
675 Hand Molders and Shapers, Except Jewelers
676 Patternmakers, Lay-Out Workers, and Cutters
677 Optical Goods Workers
678 Dental Laboratory and Medical Appliance Technicians
679 Bookbinders
683 Electrical and Electronic Equipment Assemblers
684 Miscellaneous Precision Workers, n.e.c.
686 Butchers and Meat Cutters
687 Bakers
688 Food Batchmakers
689 Inspectors, Testers, and Graders
693 Adjusters and Calibrators
694 Water and Sewage Treatment Plant Operators
695 Power Plant Operators
696 Stationary Engineers
699 Miscellaneous Plant and System Operators
703 Lathe and Turning Machine Set-Up Operators
704 Lathe and Turning Machine Operators
705 Milling and Planing Machine Operators
706 Punching and Stamping Press Machine Operators
707 Rolling Machine Operators
708 Drilling and Boring Machine Operators
709 Grinding, Abrading, Buffing, and Polishing Machine Operators
713 Forging Machine Operators
715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators
717 Fabricating Machine Operators, n.e.c.
719 Molding and Casting Machine Operators
723 Metal Plating Machine Operators
724 Heat Treating Equipment Operators
725 Miscellaneous Metal and Plastic Processing Machine Operators
726 Wood Lathe, Routing and Planing Machine Operators
727 Sawing Machine Operators
728 Shaping and Joining Machine Operators
729 Nailing and Tacking Machine Operators
733 Miscellaneous Woodworking Machine Operators
734 Printing Machine Operators
735 Photoengravers and Lithographers
736 Typesetters and Compositors
737 Miscellaneous Printing Machine Operators
738 Winding and Twisting Machine Operators
739 Knitting, Looping, Taping, and Weaving Machine Operators
743 Textile Cutting Machine Operators
744 Textile Sewing Machine Operators
745 Shoe Machine Operators
747 Pressing Machine Operators
748 Laundering and Dry Cleaning Machine Operators
749 Miscellaneous Textile Machine Operators
753 Cementing and Gluing Machine Operators
754 Packaging and Filling Machine Operators
755 Extruding and Forming Machine Operators
756 Mixing and Blending Machine Operators
757 Separating, Filtering, and Clarifying Machine Operators
758 Compressing and Compacting Machine Operators
759 Painting and Paint Spraying Machine Operators
763 Roasting and Baking Machine Operators, Food
764 Washing, Cleaning, and Pickling Machine Operators
765 Folding Machine Operators
766 Furnace, Kiln, and Oven Operators, Except Food
768 Crushing and Grinding Machine Operators
769 Slicing and Cutting Machine Operators
773 Motion Picture Projectionists
774 Photographic Process Machine Operators
777 Miscellaneous and Not Specified Machine Operators, n.e.c.
779 Machine Operators, Not Specified
783 Welders and Cutters
784 Solderers and Blazers
785 Assemblers
786 Hand Cutting and Trimming Occupations
787 Hand Molding, Casting, and Forming Occupations
789 Hand Painting,Coating, and Decorating Occupations
793 Hand Engraving and Printing Occupations
794 Hand Grinding and Polishing Occupations
795 Miscellaneous Hand Working Occupations
796 Production Inspectors, Checkers, and Examiners
797 Production Testers
798 Production Samplers and Weighers
799 Graders and Sorters, Except Agricultural
803 Supervisors, Motor Vehicle Operators
804 Truck Drivers, Heavy
805 Truck Drivers, Light
806 Driver-Sales Workers
808 Bus Drivers
809 Taxicab Drivers and Chauffeurs
813 Parking Lot Attendants
814 Motor Transportation Occupations, n.e.c.
823 Railroad Conductors and Yardmasters
824 Locomotive Operating Occupations
825 Railroad Brake, Signal, and Switch Operators
826 Rail Vehicle Operators, n.e.c.
828 Ship Captains and Mates, Except Fishing Boats
829 Sailors and Deckhands
833 Marine Engineers
834 Bridge, Lock and Lighthouse Tenders
843 Supervisors, Material Moving Equipment Operators
844 Operating Engineers
845 Longshore Equipment Operators
848 Hoist and Winch Operators
849 Crane and Tower Operators
853 Excavating and Loading Machine Operators
855 Grader, Dozer, and Scraper Operators
856 Industrial Truck and Tractor Equipment Operators
859 Miscellaneous Material Moving Equipment Operators
863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c.
864 Helpers, Mechanics and Repairers
865 Helpers, Construction Trades
866 Helpers, Surveyor
867 Helpers, Extractive Occupations
869 Construction Laborers
873 Production Helpers
875 Garbage Collectors
876 Stevedores
877 Stock Handlers and Baggers
878 Machine Feeders and Offbearers
883 Freight, Stock, and Material Handlers, n.e.c.
885 Garage and Service Station Related Occupations
887 Vehicle Washers and Equipment Cleaners
888 Hand Packers and Packagers
889 Laborers, Except Construction
998 DK
999 NA
1682
SBPRES80 Label: R sibling occupational prestige score (1980)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 DK,NA,IAP
1683
SBWRKSLF Label: R sibling self-employed?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF EMPLOYED
2 SOMEONE ELSE
8 DK
9 NA
1684
SBIND80 Label: R sibling industry code (1980)
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
10 Agricultural production, crops
11 Agricultural production, livestock
20 Agricultural services, except horticultural
21 Horticultural services
30 Forestry
31 Fishing, hunting, and trapping, etc.
40 Metal mining
41 Coal mining
42 Crude petroleum and natural gas extraction
50 Nonmetallic mining and quarrying, except fuel
60 CONSTRUCTION
100 Meat products
101 Dairy products
102 Canned and preserved fruits and vegetables
110 Grain mill products
111 Bakery products
112 Sugar and confectionery products
120 Beverage industries
121 Miscellaneous food preparations and kindred products
122 Not specified food industries
130 Tobacco manufactures
132 Knitting mills
140 Dyeing and finishing textiles, except wool and knit goods
141 Floor coverings, except hard surface
142 Yarn, thread, and fabric mills
150 Miscellaneous textile mill products
151 Apparel and accessories, except knit
152 Miscellaneous fabricated textile products
160 Pulp, paper, and paperboard mills
161 Miscellaneous paper and pulp products
162 Paperboard containers and boxes
171 Newspaper publishing and printing
172 Printing, publishing, and allied industries, except newspapers
180 Plastics, synthetics, and resins
181 Drugs
182 Soaps and cosmetics
185 Paints, varnishes, and related products
190 Agricultural chemicals
191 Industrial and miscellaneous chemicals
192 Petroleum and coal products
200 Petroleum refining
201 Miscellaneous petroleum and coal products
210 Tires and inner tubes
211 Other rubber products, and plastics footwear and belting
212 Miscellaneous plastics products
220 Leather tanning and finishing
221 Footwear, except rubber and plastic
222 Leather products, except footwear
230 Logging
231 Sawmills, planning mills, and millwork
232 Wood buildings and mobile homes
241 Miscellaneous wood products
242 Furniture and fixtures
250 Glass and glass products
251 Cement, concrete, gypsum, and plaster products
252 Structural clay products
261 Pottery and related products
262 Miscellaneous nonmetallic mineral and stone products
270 Blast furnaces, steelworks, rolling and finishing mills
271 Iron and steel foundries
272 Primary aluminum industries
280 Other primary metal industries
281 Cutlery, hand tools, and other hardware
282 Fabricated structural metal products
290 Screw machine products
291 Metal forgings and stampings
292 Ordnance
300 Miscellaneous fabricated metal products
301 Not specified metal industries
310 Engines and turbines
311 Farm machinery and equipment
312 Construction and material handling machines
320 Metalworking machinery
321 Office and accounting machines
322 Electronic computing equipment
331 Machinery, except electrical, n.e.c.
332 Not specified machinery
340 Household appliances
341 Radio, TV, and communication equipment
342 Electrical machinery, equipment, and supplies, n.e.c.
350 Not specified electrical machinery, equipment, and supplies
351 Motor vehicles and motor vehicle equipment
352 Aircraft and parts
360 Ship and boat building and repairing
361 Railroad locomotives and equipment
362 Guided missiles, space vehicles, and parts
370 Cycles and miscellaneous transportation equipment
371 Scientific and controlling instruments
372 Optical and health services supplies
380 Photographic equipment and supplies
381 Watches, clocks, and clockwork operated devices
382 Not specified professional equipment
390 Toys, amusement, and sporting goods
391 Miscellaneous manufacturing industries
392 Not specified manufacturing industries
400 Railroads
401 Bus service and urban transit
402 Taxicab service
410 Trucking service
411 Warehousing and storage
412 U.S. Postal Service
420 Water transportation
421 Air transportation
422 Pipe lines, except natural gas
432 Services incidental to transportation
440 Radio and television broadcasting
441 Telephone (wire and radio)
442 Telegraph and miscellaneous communication service
460 Electric light and power
461 Gas and steam supply systems
462 Electric and gas, and other combinations
470 Water supply and irrigation
471 Sanitary services
472 Not specified utilities
500 Motor vehicles and equipment
501 Furniture and home furnishings
502 Lumber and construction materials
510 Sporting goods, toys, and hobby goods
511 Metals and minerals, except petroleum
512 Electrical goods
521 Hardware, plumbing and heating supplies
522 Not specified electrical and hardware products
530 Machinery, equipment, and supplies
531 Scrap and waste materials
532 Miscellaneous wholesale, durable goods
540 Paper and paper products
541 Drugs, chemicals, and allied products
542 Apparel, fabrics, and notions
550 Groceries and related products
551 Farm products-raw materials
552 Petroleum products
560 Alcoholic beverages
561 Farm supplies
562 Miscellaneous wholesale, nondurable goods
571 Not specified wholesale trade
580 Lumber and building material retailing
581 Hardware stores
582 Retail nurseries and garden stores
590 Mobile home dealers
591 Department stores
592 Variety stores
600 Miscellaneous general merchandise stores
601 Grocery stores
602 Dairy products stores
610 Retail bakeries
611 Food stores, n.e.c.
612 Motor vehicle dealers
620 Auto and home supply stores
621 Gasoline service stations
622 Miscellaneous vehicle dealers
630 Apparel and accessory stores, except shoe
631 Shoe stores
632 Furniture and home furnishings stores
640 Household appliances, TV, and radio stores
641 Eating and drinking places
642 Drug stores
650 Liquor stores
651 Sporting goods, bicycles, and hobby stores
652 Book and stationery stores
660 Jewelry stores
661 Sewing, needlework, and piece goods stores
662 Mail order houses
670 Vending machine operators
671 Direct selling establishments
672 Fuel and ice dealers
681 Retail florists
682 Miscellaneous retail stores
691 Not specified retail trade
700 Banking
701 Savings and loan associations
702 Credit agencies, n.e.c.
710 Security, commodity brokerage, and investment companies
711 Insurance
712 Real estate, including real estate-insurance-law offices
721 Advertising
722 Services to dwellings and other buildings
730 Commercial research, development, and testing labs
731 Personnel supply services
732 Business management and consulting services
740 Computer and data processing services
741 Detective and protective services
742 Business services, n.e.c.
750 Automotive services, except repair
751 Automotive repair shops
752 Electrical repair shops
760 Miscellaneous repair services
761 Private households
762 Hotels and motels
770 Lodging places, except hotels and motels
771 Laundry, cleaning, and garment services
772 Beauty shops
780 Barber shops
781 Funeral service and crematories
782 Shoe repair shops
790 Dressmaking shops
791 Miscellaneous personal services
800 Theaters and motion pictures
801 Bowling alleys, billiard and pool parlors
802 Miscellaneous entertainment and recreation services
812 Offices of physicians
820 Offices of dentists
821 Offices of chiropractors
822 Offices of optometrists
830 Offices of health practitioners, n.e.c.
831 Hospitals
832 Nursing and personal care facilities
840 Health services, n.e.c.
841 Legal services
842 Elementary and secondary schools
850 Colleges and universities
851 Business, trade, and vocational schools
852 Libraries
860 Educational services, n.e.c.
861 Job training and vocational rehabilitation services
862 Child day care services
870 Residential care facilities, without nursing
871 Social services, n.e.c.
872 Museums, art galleries and zoos
880 Religious organizations
881 Membership organizations
882 Engineering, architectural, and surveying services
890 Accounting, auditing, and bookkeeping services
891 Noncommercial educational and scientific research
892 Miscellaneous professional and related services
900 Executive and legislative offices
901 General government, n.e.c.
910 Justice, public order, and safety
921 Public finance, taxation, and monetary policy
922 Administration of human resources programs
930 Administration of environmental quality and household programs
931 Administration of economic programs
932 National security and international affairs
998 DK
999 NA
1685
SBOCC10 Label: R sibling census occupation code (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
10 Chief executives
20 General and operations managers
30 Legislators
40 Advertising and promotions managers
50 Marketing and sales managers
60 Public relations and fundraising managers
100 Administrative services managers
110 Computer and information systems managers
120 Financial managers
135 Compensation and benefits managers
136 Human resources managers
137 Training and development managers
140 Industrial production managers
150 Purchasing managers
160 Transportation, storage, and distribution managers
205 Farmers, ranchers, and other agricultural managers
220 Construction managers
230 Education administrators
300 Architectural and engineering managers
310 Food service managers
325 Funeral service managers
330 Gaming managers
340 Lodging managers
350 Medical and health services managers
360 Natural sciences managers
400 Postmasters and mail superintendents
410 Property, real estate, and community association managers
420 Social and community service managers
425 Emergency management directors
430 Managers, all other
500 Agents and business managers of artists, performers,
510 Buyers and purchasing agents, farm products
520 Wholesale and retail buyers, except farm products
530 Purchasing agents, except wholesale, retail, and farm products
540 Claims adjusters, appraisers, examiners, and investigators
565 Compliance officers
600 Cost estimators
630 Human resources workers
640 Compensation, benefits, and job analysis specialists
650 Training and development specialists
700 Logisticians
710 Management analysts
725 Meeting, convention, and event planners
726 Fundraisers
735 Market research analysts and marketing specialists
740 Business operations specialists, all other
800 Accountants and auditors
810 Appraisers and assessors of real estate
820 Budget analysts
830 Credit analysts
840 Financial analysts
850 Personal financial advisors
860 Insurance underwriters
900 Financial examiners
910 Credit counselors and loan officers
930 Tax examiners and collectors, and revenue agents
940 Tax preparers
950 Financial specialists, all other
1005 Computer and information research scientists
1006 Computer systems analysts
1007 Information security analysts
1010 Computer programmers
1020 Software developers, applications and systems software
1030 Web developers
1050 Computer support specialists
1060 Database administrators
1105 Network and computer systems administrators
1106 Computer network architects
1107 Computer occupations, all other
1200 Actuaries
1210 Mathematicians
1220 Operations research analysts
1230 Statisticians
1240 Miscellaneous mathematical science occupations
1300 Architects, except naval
1310 Surveyors, cartographers, and photogrammetrists
1320 Aerospace engineers
1330 Agricultural engineers
1340 Biomedical engineers
1350 Chemical engineers
1360 Civil engineers
1400 Computer hardware engineers
1410 Electrical and electronics engineers
1420 Environmental engineers
1430 Industrial engineers, including health and safety
1440 Marine engineers and naval architects
1450 Materials engineers
1460 Mechanical engineers
1500 Mining and geological engineers, including mining safety engineers
1510 Nuclear engineers
1520 Petroleum engineers
1530 Engineers, all other
1540 Drafters
1550 Engineering technicians, except drafters
1560 Surveying and mapping technicians
1600 Agricultural and food scientists
1610 Biological scientists
1640 Conservation scientists and foresters
1650 Medical scientists
1660 Life scientists, all other
1700 Astronomers and physicists
1710 Atmospheric and space scientists
1720 Chemists and materials scientists
1740 Environmental scientists and geoscientists
1760 Physical scientists, all other
1800 Economists
1815 Survey researchers
1820 Psychologists
1830 Sociologists
1840 Urban and regional planners
1860 Miscellaneous social scientists and related workers
1900 Agricultural and food science technicians
1910 Biological technicians
1920 Chemical technicians
1930 Geological and petroleum technicians
1940 Nuclear technicians
1950 Social science research assistants
1965 Miscellaneous life, physical, and social science technicians
2000 Counselors
2010 Social workers
2015 Probation officers and correctional treatment specialists
2016 Social and human service assistants
2025 Miscellaneous community and social service specialists,
2040 Clergy
2050 Directors, religious activities and education
2060 Religious workers, all other
2100 Lawyers
2105 Judicial law clerks
2110 Judges, magistrates, and other judicial workers
2145 Paralegals and legal assistants
2160 Miscellaneous legal support workers
2200 Postsecondary teachers
2300 Preschool and kindergarten teachers
2310 Elementary and middle school teachers
2320 Secondary school teachers
2330 Special education teachers
2340 Other teachers and instructors
2400 Archivists, curators, and museum technicians
2430 Librarians
2440 Library technicians
2540 Teacher assistants
2550 Other education, training, and library workers
2600 Artists and related workers
2630 Designers
2700 Actors
2710 Producers and directors
2720 Athletes, coaches, umpires, and related workers
2740 Dancers and choreographers
2750 Musicians, singers, and related workers
2760 Entertainers and performers, sports and related workers, all other
2800 Announcers
2810 News analysts, reporters and correspondents
2825 Public relations specialists
2830 Editors
2840 Technical writers
2850 Writers and authors
2860 Miscellaneous media and communication workers
2900 Broadcast and sound engineering technicians and radio
2910 Photographers
2920 Television, video, and motion picture camera operators and
2960 Media and communication equipment workers, all other
3000 Chiropractors
3010 Dentists
3030 Dietitians and nutritionists
3040 Optometrists
3050 Pharmacists
3060 Physicians and surgeons
3110 Physician assistants
3120 Podiatrists
3140 Audiologists
3150 Occupational therapists
3160 Physical therapists
3200 Radiation therapists
3210 Recreational therapists
3220 Respiratory therapists
3230 Speech-language pathologists
3235 Exercise physiologists
3245 Therapists, all other
3250 Veterinarians
3255 Registered nurses
3256 Nurse anesthetists
3257 Nurse midwives
3258 Nurse practitioners
3260 Health diagnosing and treating practitioners, all other
3300 Clinical laboratory technologists and technicians
3310 Dental hygienists
3320 Diagnostic related technologists and technicians
3400 Emergency medical technicians and paramedics
3420 Health practitioner support technologists and technicians
3500 Licensed practical and licensed vocational nurses
3510 Medical records and health information technicians
3520 Opticians, dispensing
3535 Miscellaneous health technologists and technicians
3540 Other healthcare practitioners and technical occupations
3600 Nursing, psychiatric, and home health aides
3610 Occupational therapy assistants and aides
3620 Physical therapist assistants and aides
3630 Massage therapists
3640 Dental assistants
3645 Medical assistants
3646 Medical transcriptionists
3647 Pharmacy aides
3648 Veterinary assistants and laboratory animal caretakers
3649 Phlebotomists
3655 Miscellaneous healthcare support occupations, including medical equipment preparers
3700 First-line supervisors of correctional officers
3710 First-line supervisors of police and detectives
3720 First-line supervisors of fire fighting and prevention workers
3730 First-line supervisors of protective service workers, all other
3740 Firefighters
3750 Fire inspectors
3800 Bailiffs, correctional officers, and jailers
3820 Detectives and criminal investigators
3830 Fish and game wardens
3840 Parking enforcement workers
3850 Police and sheriff's patrol officers
3860 Transit and railroad police
3900 Animal control workers
3910 Private detectives and investigators
3930 Security guards and gaming surveillance officers
3940 Crossing guards
3945 Transportation security screeners
3955 Lifeguards and other recreational, and all other protective service workers
4000 Chefs and head cooks
4010 First-line supervisors of food preparation and serving workers
4020 Cooks
4030 Food preparation workers
4040 Bartenders
4050 Combined food preparation and serving workers, including fast food
4060 Counter attendants, cafeteria, food concession, and coffee shop
4110 Waiters and waitresses
4120 Food servers, nonrestaurant
4130 Dining room and cafeteria attendants and bartender helpers
4140 Dishwashers
4150 Hosts and hostesses, restaurant, lounge, and coffee shop
4160 Food preparation and serving related workers, all other
4200 First-line supervisors of housekeeping and janitorial workers
4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers
4220 Janitors and building cleaners
4230 Maids and housekeeping cleaners
4240 Pest control workers
4250 Grounds maintenance workers
4300 First-line supervisors of gaming workers
4320 First-line supervisors of personal service workers
4340 Animal trainers
4350 Nonfarm animal caretakers
4400 Gaming services workers
4410 Motion picture projectionists
4420 Ushers, lobby attendants, and ticket takers
4430 Miscellaneous entertainment attendants and related workers
4460 Embalmers and funeral attendants
4465 Morticians, undertakers, and funeral directors
4500 Barbers
4510 Hairdressers, hairstylists, and cosmetologists
4520 Miscellaneous personal appearance workers
4530 Baggage porters, bellhops, and concierges
4540 Tour and travel guides
4600 Childcare workers
4610 Personal care aides
4620 Recreation and fitness workers
4640 Residential advisors
4650 Personal care and service workers, all other
4700 First-line supervisors of retail sales workers
4710 First-line supervisors of non-retail sales workers
4720 Cashiers
4740 Counter and rental clerks
4750 Parts salespersons
4760 Retail salespersons
4800 Advertising sales agents
4810 Insurance sales agents
4820 Securities, commodities, and financial services sales agents
4830 Travel agents
4840 Sales representatives, services, all other
4850 Sales representatives, wholesale and manufacturing
4900 Models, demonstrators, and product promoters
4920 Real estate brokers and sales agents
4930 Sales engineers
4940 Telemarketers
4950 Door-to-door sales workers, news and street vendors, and related workers
4965 Sales and related workers, all other
5000 First-line supervisors of office and administrative support workers
5010 Switchboard operators, including answering service
5020 Telephone operators
5030 Communications equipment operators, all other
5100 Bill and account collectors
5110 Billing and posting clerks
5120 Bookkeeping, accounting, and auditing clerks
5130 Gaming cage workers
5140 Payroll and timekeeping clerks
5150 Procurement clerks
5160 Tellers
5165 Financial clerks, all other
5200 Brokerage clerks
5210 Correspondence clerks
5220 Court, municipal, and license clerks
5230 Credit authorizers, checkers, and clerks
5240 Customer service representatives
5250 Eligibility interviewers, government programs
5260 File Clerks
5300 Hotel, motel, and resort desk clerks
5310 Interviewers, except eligibility and loan
5320 Library assistants, clerical
5330 Loan interviewers and clerks
5340 New accounts clerks
5350 Order clerks
5360 Human resources assistants, except payroll and timekeeping
5400 Receptionists and information clerks
5410 Reservation and transportation ticket agents and travel clerks
5420 Information and record clerks, all other
5500 Cargo and freight agents
5510 Couriers and messengers
5520 Dispatchers
5530 Meter readers, utilities
5540 Postal service clerks
5550 Postal service mail carriers
5560 Postal service mail sorters, processors, and processing machine operators
5600 Production, planning, and expediting clerks
5610 Shipping, receiving, and traffic clerks
5620 Stock clerks and order fillers
5630 Weighers, measurers, checkers, and samplers, recordkeeping
5700 Secretaries and administrative assistants
5800 Computer operators
5810 Data entry keyers
5820 Word processors and typists
5830 Desktop publishers
5840 Insurance claims and policy processing clerks
5850 Mail clerks and mail machine operators, except postal service
5860 Office clerks, general
5900 Office machine operators, except computer
5910 Proofreaders and copy markers
5920 Statistical assistants
5940 Office and administrative support workers, all other
6005 First-line supervisors of farming, fishing, and forestry workers
6010 Agricultural inspectors
6020 Animal breeders
6040 Graders and sorters, agricultural products
6050 Miscellaneous agricultural workers
6100 Fishers and related fishing workers
6110 Hunters and trappers
6120 Forest and conservation workers
6130 Logging workers
6200 First-line supervisors of construction trades and extraction workers
6210 Boilermakers
6220 Brickmasons, blockmasons, and stonemasons
6230 Carpenters
6240 Carpet, floor, and tile installers and finishers
6250 Cement masons, concrete finishers, and terrazzo workers
6260 Construction laborers
6300 Paving, surfacing, and tamping equipment operators
6310 Pile-driver operators
6320 Operating engineers and other construction equipment operators
6330 Drywall installers, ceiling tile installers, and tapers
6355 Electricians
6360 Glaziers
6400 Insulation workers
6420 Painters, construction and maintenance
6430 Paperhangers
6440 Pipelayers, plumbers, pipefitters, and steamfitters
6460 Plasterers and stucco masons
6500 Reinforcing iron and rebar workers
6515 Roofers
6520 Sheet metal workers
6530 Structural iron and steel workers
6540 Solar photovoltaic installers
6600 Helpers, construction trades
6660 Construction and building inspectors
6700 Elevator installers and repairers
6710 Fence erectors
6720 Hazardous materials removal workers
6730 Highway maintenance workers
6740 Rail-track laying and maintenance equipment operators
6750 Septic tank servicers and sewer pipe cleaners
6765 Miscellaneous construction and related workers
6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining
6820 Earth drillers, except oil and gas
6830 Explosives workers, ordnance handling experts, and blasters
6840 Mining machine operators
6910 Roof bolters, mining
6920 Roustabouts, oil and gas
6930 Helpers?xtraction workers
6940 Other extraction workers
7000 First-line supervisors of mechanics, installers, and repairers
7010 Computer, automated teller, and office machine repairers
7020 Radio and telecommunications equipment installers and repairers
7030 Avionics technicians
7040 Electric motor, power tool, and related repairers
7050 Electrical and electronics installers and repairers, transportation
7100 Electrical and electronics repairers, industrial and utility
7110 Electronic equipment installers and repairers, motor vehicles
7120 Electronic home entertainment equipment installers and repairers
7130 Security and fire alarm systems installers
7140 Aircraft mechanics and service technicians
7150 Automotive body and related repairers
7160 Automotive glass installers and repairers
7200 Automotive service technicians and mechanics
7210 Bus and truck mechanics and diesel engine specialists
7220 Heavy vehicle and mobile equipment service technicians and mechanics
7240 Small engine mechanics
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
7300 Control and valve installers and repairers
7315 Heating, air conditioning, and refrigeration mechanics and installers
7320 Home appliance repairers
7330 Industrial and refractory machinery mechanics
7340 Maintenance and repair workers, general
7350 Maintenance workers, machinery
7360 Millwrights
7410 Electrical power-line installers and repairers
7420 Telecommunications line installers and repairers
7430 Precision instrument and equipment repairers
7440 Wind turbine service technicians
7510 Coin, vending, and amusement machine servicers and repairers
7520 Commercial divers
7540 Locksmiths and safe repairers
7550 Manufactured building and mobile home installers
7560 Riggers
7600 Signal and track switch repairers
7610 Helpers?nstallation, maintenance, and repair workers
7630 Other installation, maintenance, and repair workers
7700 First-line supervisors of production and operating workers
7710 Aircraft structure, surfaces, rigging, and systems assemblers
7720 Electrical, electronics, and electromechanical assemblers
7730 Engine and other machine assemblers
7740 Structural metal fabricators and fitters
7750 Miscellaneous assemblers and fabricators
7800 Bakers
7810 Butchers and other meat, poultry, and fish processing workers
7830 Food and tobacco roasting, baking, and drying machine operators and tenders
7840 Food batchmakers
7850 Food cooking machine operators and tenders
7855 Food processing workers, all other
7900 Computer control programmers and operators
7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic
7930 Forging machine setters, operators, and tenders, metal and plastic
7940 Rolling machine setters, operators, and tenders, metal and plastic
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic
8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic
8020 Milling and planing machine setters, operators, and tenders, metal and plastic
8030 Machinists
8040 Metal furnace operators, tenders, pourers, and casters
8060 Model makers and patternmakers, metal and plastic
8100 Molders and molding machine setters, operators, and tenders, metal and plastic
8120 Multiple machine tool setters, operators, and tenders, metal and plastic
8130 Tool and die makers
8140 Welding, soldering, and brazing workers
8150 Heat treating equipment setters, operators, and tenders, metal and plastic
8160 Layout workers, metal and plastic
8200 Plating and coating machine setters, operators, and tenders, metal and plastic
8210 Tool grinders, filers, and sharpeners
8220 Metal workers and plastic workers, all other
8250 Prepress technicians and workers
8255 Printing press operators
8256 Print binding and finishing workers
8300 Laundry and dry-cleaning workers
8310 Pressers, textile, garment, and related materials
8320 Sewing machine operators
8330 Shoe and leather workers and repairers
8340 Shoe machine operators and tenders
8350 Tailors, dressmakers, and sewers
8360 Textile bleaching and dyeing machine operators and tenders
8400 Textile cutting machine setters, operators, and tenders
8410 Textile knitting and weaving machine setters, operators, and tenders
8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders
8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
8440 Fabric and apparel patternmakers
8450 Upholsterers
8460 Textile, apparel, and furnishings workers, all other
8500 Cabinetmakers and bench carpenters
8510 Furniture finishers
8520 Model makers and patternmakers, wood
8530 Sawing machine setters, operators, and tenders, wood
8540 Woodworking machine setters, operators, and tenders, except sawing
8550 Woodworkers, all other
8600 Power plant operators, distributors, and dispatchers
8610 Stationary engineers and boiler operators
8620 Water and wastewater treatment plant and system operators
8630 Miscellaneous plant and system operators
8640 Chemical processing machine setters, operators, and tenders
8650 Crushing, grinding, polishing, mixing, and blending workers
8710 Cutting workers
8720 Extruding, forming, pressing, and compacting machine setters,
8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders
8740 Inspectors, testers, sorters, samplers, and weighers
8750 Jewelers and precious stone and metal workers
8760 Medical, dental, and ophthalmic laboratory technicians
8800 Packaging and filling machine operators and tenders
8810 Painting workers
8830 Photographic process workers and processing machine operators
8840 Semiconductor processors
8850 Adhesive bonding machine operators and tenders
8860 Cleaning, washing, and metal pickling equipment operators and tenders
8900 Cooling and freezing equipment operators and tenders
8910 Etchers and engravers
8920 Molders, shapers, and casters, except metal and plastic
8930 Paper goods machine setters, operators, and tenders
8940 Tire builders
8950 Helpers?roduction workers
8965 Production workers, all other
9000 Supervisors of transportation and material moving workers
9030 Aircraft pilots and flight engineers
9040 Air traffic controllers and airfield operations specialists
9050 Flight attendants
9110 Ambulance drivers and attendants, except emergency medical technicians
9120 Bus drivers
9130 Driver/sales workers and truck drivers
9140 Taxi drivers and chauffeurs
9150 Motor vehicle operators, all other
9200 Locomotive engineers and operators
9230 Railroad brake, signal, and switch operators
9240 Railroad conductors and yardmasters
9260 Subway, streetcar, and other rail transportation workers
9300 Sailors and marine oilers
9310 Ship and boat captains and operators
9330 Ship engineers
9340 Bridge and lock tenders
9350 Parking lot attendants
9360 Automotive and watercraft service attendants
9410 Transportation inspectors
9415 Transportation attendants, except flight attendants
9420 Other transportation workers
9500 Conveyor operators and tenders
9510 Crane and tower operators
9520 Dredge, excavating, and loading machine operators
9560 Hoist and winch operators
9600 Industrial truck and tractor operators
9610 Cleaners of vehicles and equipment
9620 Laborers and freight, stock, and material movers, hand
9630 Machine feeders and offbearers
9640 Packers and packagers, hand
9650 Pumping station operators
9720 Refuse and recyclable material collectors
9730 Mine shuttle car operators
9740 Tank car, truck, and ship loaders
9750 Material moving workers, all other
9800 Military officer special and tactical operations leaders
9810 First-line enlisted military supervisors
9820 Military enlisted tactical operations and air/weapons specialists and crew members
9830 Military, rank not specified
9997 Uncodeable
9998 DK
9999 NA
1686
SBOCCINDV Label: Sibling's occ/ind verbatim retrieved
Format: F8.0
Measure: Nominal
Display Width: 11
Missing Values: -1
Value Label
-1 IAP
0 No verbatims for sb
1 Verbatims for sb
1687
SBOCCSTATUS Label: SBOCC10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
8 Case not collected in 1994
1688
SBOCCTAG Label: SBOCC10 coding tag
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
1689
SBIND10 Label: R sibling industry code (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
170 Crop production
180 Animal production
190 Forestry, except logging
270 Logging
280 Fishing, hunting, and trapping
290 Support activities for agriculture and forestry
370 Oil and gas extraction
380 Coal mining
390 Metal ore mining
470 Nonmetallic mineral mining and quarrying
480 Not specified type of mining
490 Support activities for mining
570 Electric power generation, transmission, and distribution
580 Natural gas distribution
590 Electric and gas, and other combinations
670 Water, steam, air-conditioning, and irrigation systems
680 Sewage treatment facilities
690 Not specified utilities
770 Construction
1070 Animal food, grain, and oilseed milling
1080 Sugar and confectionery products
1090 Fruit and vegetable preserving and specialty food manufacturing
1170 Dairy product manufacturing
1180 Animal slaughtering and processing
1190 Retail bakeries
1270 Bakeries, except retail
1280 Seafood and other miscellaneous foods, n.e.c.
1290 Not specified food industries
1370 Beverage manufacturing
1390 Tobacco manufacturing
1470 Fiber, yarn, and thread mills
1480 Fabric mills, except knitting mills
1490 Textile and fabric finishing and coating mills
1570 Carpet and rug mills
1590 Textile product mills, except carpet and rug
1670 Knitting fabric mills, and apparel knitting mills
1680 Cut and sew apparel manufacturing
1690 Apparel accessories and other apparel manufacturing
1770 Footwear manufacturing
1790 Leather tanning and finishing and other allied products manufacturing
1870 Pulp, paper, and paperboard mills
1880 Paperboard containers and boxes
1890 Miscellaneous paper and pulp products
1990 Printing and related support activities
2070 Petroleum refining
2090 Miscellaneous petroleum and coal products
2170 Resin, synthetic rubber and fibers, and filaments manufacturing
2180 Agricultural chemical manufacturing
2190 Pharmaceutical and medicine manufacturing
2270 Paint, coating, and adhesive manufacturing
2280 Soap, cleaning compound, and cosmetics manufacturing
2290 Industrial and miscellaneous chemicals
2370 Plastics product manufacturing
2380 Tire manufacturing
2390 Rubber product, except tire, manufacturing
2470 Pottery, ceramics, and plumbing fixture manufacturing
2480 Structural clay product manufacturing
2490 Glass and glass product manufacturing
2570 Cement, concrete, lime, and gypsum product manufacturing
2590 Miscellaneous nonmetallic mineral product manufacturing
2670 Iron and steel mills and steel product manufacturing
2680 Aluminum production and processing
2690 Nonferrous metal (except aluminum) production and processing
2770 Foundries
2780 Metal forgings and stampings
2790 Cutlery and hand tool manufacturing
2870 Structural metals, and boiler, tank, and shipping container manufacturing
2880 Machine shops; turned product; screw, nut, and bolt manufacturing
2890 Coating, engraving, heat treating and allied activities
2970 Ordnance
2980 Miscellaneous fabricated metal products manufacturing
2990 Not specified metal industries
3070 Agricultural implement manufacturing
3080 Construction, and mining and oil and gas field machinery manufacturing
3090 Commercial and service industry machinery manufacturing
3170 Metalworking machinery manufacturing
3180 Engines, turbines, and power transmission equipment manufacturing
3190 Machinery manufacturing, n.e.c.
3290 Not specified machinery manufacturing
3360 Computer and peripheral equipment manufacturing
3370 Communications, and audio and video equipment manufacturing
3380 Navigational, measuring, electromedical, and control instruments manufacturing
3390 Electronic component and product manufacturing, n.e.c.
3470 Household appliance manufacturing
3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c.
3570 Motor vehicles and motor vehicle equipment manufacturing
3580 Aircraft and parts manufacturing
3590 Aerospace product and parts manufacturing
3670 Railroad rolling stock manufacturing
3680 Ship and boat building
3690 Other transportation equipment manufacturing
3770 Sawmills and wood preservation
3780 Veneer, plywood, and engineered wood products
3790 Prefabricated wood buildings and mobile homes
3870 Miscellaneous wood products
3890 Furniture and related product manufacturing
3960 Medical equipment and supplies manufacturing
3970 Sporting and athletic goods, and doll, toy and game manufacturing
3980 Miscellaneous manufacturing, n.e.c.
3990 Not specified manufacturing industries
4070 Motor vehicles, parts and supplies, merchant wholesalers
4080 Furniture and home furnishing, merchant wholesalers
4090 Lumber and other construction materials, merchant wholesalers
4170 Professional and commercial equipment and supplies, merchant wholesalers
4180 Metals and minerals, except petroleum, merchant wholesalers
4190 Electrical and electronic goods, merchant wholesalers
4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers
4270 Machinery, equipment, and supplies, merchant wholesalers
4280 Recyclable material, merchant wholesalers
4290 Miscellaneous durable goods, merchant wholesalers
4370 Paper and paper products, merchant wholesalers
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers
4390 Apparel, fabrics, and notions, merchant wholesalers
4470 Groceries and related products, merchant wholesalers
4480 Farm product raw materials, merchant wholesalers
4490 Petroleum and petroleum products, merchant wholesalers
4560 Alcoholic beverages, merchant wholesalers
4570 Farm supplies, merchant wholesalers
4580 Miscellaneous nondurable goods, merchant wholesalers
4585 Wholesale electronic markets, agents and brokers
4590 Not specified wholesale trade
4670 Automobile dealers
4680 Other motor vehicle dealers
4690 Auto parts, accessories, and tire stores
4770 Furniture and home furnishings stores
4780 Household appliance stores
4790 Radio, TV, and computer stores
4870 Building material and supplies dealers
4880 Hardware stores
4890 Lawn and garden equipment and supplies stores
4970 Grocery stores
4980 Specialty food stores
4990 Beer, wine, and liquor stores
5070 Pharmacies and drug stores
5080 Health and personal care, except drug, stores
5090 Gasoline stations
5170 Clothing stores
5180 Shoe stores
5190 Jewelry, luggage, and leather goods stores
5270 Sporting goods, camera, and hobby and toy stores
5280 Sewing, needlework, and piece goods stores
5290 Music stores
5370 Book stores and news dealers
5380 Department stores and discount stores
5390 Miscellaneous general merchandise stores
5470 Retail florists
5480 Office supplies and stationery stores
5490 Used merchandise stores
5570 Gift, novelty, and souvenir shops
5580 Miscellaneous retail stores
5590 Electronic shopping
5591 Electronic auctions
5592 Mail order houses
5670 Vending machine operators
5680 Fuel dealers
5690 Other direct selling establishments
5790 Not specified retail trade
6070 Air transportation
6080 Rail transportation
6090 Water transportation
6170 Truck transportation
6180 Bus service and urban transit
6190 Taxi and limousine service
6270 Pipeline transportation
6280 Scenic and sightseeing transportation
6290 Services incidental to transportation
6370 Postal Service
6380 Couriers and messengers
6390 Warehousing and storage
6470 Newspaper publishers
6480 Periodical, book, and directory publishers
6490 Software publishers
6570 Motion pictures and video industries
6590 Sound recording industries
6670 Radio and television broadcasting and cable subscription programming
6672 Internet publishing and broadcasting and web search portals
6680 Wired telecommunications carriers
6690 Other telecommunications services
6695 Data processing, hosting, and related services
6770 Libraries and archives
6780 Other information services
6870 Banking and related activities
6880 Savings institutions, including credit unions
6890 Non-depository credit and related activities
6970 Securities, commodities, funds, trusts, and other financial investments
6990 Insurance carriers and related activities
7070 Real estate
7080 Automotive equipment rental and leasing
7170 Video tape and disk rental
7180 Other consumer goods rental
7190 Commercial, industrial, and other intangible assets rental and leasing
7270 Legal services
7280 Accounting, tax preparation, bookkeeping, and payroll services
7290 Architectural, engineering, and related services
7370 Specialized design services
7380 Computer systems design and related services
7390 Management, scientific, and technical consulting services
7460 Scientific research and development services
7470 Advertising and related services
7480 Veterinary services
7490 Other professional, scientific, and technical services
7570 Management of companies and enterprises
7580 Employment services
7590 Business support services
7670 Travel arrangements and reservation services
7680 Investigation and security services
7690 Services to buildings and dwellings
7770 Landscaping services
7780 Other administrative and other support services
7790 Waste management and remediation services
7860 Elementary and secondary schools
7870 Colleges and universities, including junior colleges
7880 Business, technical, and trade schools and training
7890 Other schools and instruction, and educational support services
7970 Offices of physicians
7980 Offices of dentists
7990 Offices of chiropractors
8070 Offices of optometrists
8080 Offices of other health practitioners
8090 Outpatient care centers
8170 Home health care services
8180 Other health care services
8190 Hospitals
8270 Nursing care facilities
8290 Residential care facilities, without nursing
8370 Individual and family services
8380 Community food and housing, and emergency services
8390 Vocational rehabilitation services
8470 Child day care services
8560 Independent artists, performing arts, spectator sports, and related industries
8570 Museums, art galleries, historical sites, and similar institutions
8580 Bowling centers
8590 Other amusement, gambling, and recreation industries
8660 Traveler accommodation
8670 Recreational vehicle parks and camps, and rooming and boarding houses
8680 Restaurants and other food services
8690 Drinking places, alcoholic beverages
8770 Automotive repair and maintenance
8780 Car washes
8790 Electronic and precision equipment repair and maintenance
8870 Commercial and industrial machinery and equipment repair and maintenance
8880 Personal and household goods repair and maintenance
8890 Footwear and leather goods repair
8970 Barber shops
8980 Beauty salons
8990 Nail salons and other personal care services
9070 Drycleaning and laundry services
9080 Funeral homes, and cemeteries and crematories
9090 Other personal services
9160 Religious organizations
9170 Civic, social, advocacy organizations, and grantmaking and giving services
9180 Labor unions
9190 Business, professional, political, and similar organizations
9290 Private households
9370 Executive offices and legislative bodies
9380 Public finance activities
9390 Other general government and support
9470 Justice, public order, and safety activities
9480 Administration of human resource programs
9490 Administration of environmental quality and housing programs
9570 Administration of economic programs and space research
9590 National security and international affairs
9670 U.S. Army
9680 U.S. Air Force
9690 U.S. Navy
9770 U.S. Marine Corps
9780 U.S. Coast Guard
9790 U.S. Armed Forces/n.s.
9870 Active duty military personnel, all other
9997 Uncodeable
9998 DK
9999 NA
1690
SBINDSTATUS Label: SBIND10 coding status
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: -1
Value Label
-1 IAP
1 Found, IAP
2 Found, No Answer
3 Found, Coded
4 Not Found, IAP
5 Not Found, No Answer
6 Not Found, Coded
7 Not Found, No Code Assigned
8 Case not collected in 1994
1691
SBINDTAG Label: SBIND10 coding tag
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: -1
Value Label
-1 IAP
1 Found
2 Not Found, Assigned
3 Not Found, Not Assigned
1692
SBPRES10 Label: R sibling occupational prestige score (2010)
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0
Value Label
0 IAP,DK,NA
1693
SBPRES105PLUS Label: R sibling occupational prestige score using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 15
Missing Values: 0
Value Label
0 IAP,DK,NA
1694
ETHID Label: R American vs ethnic identity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 JUST AN AMERICAN
2 SOME PART. ETHNIC GRP
3 2 OR MORE ETHNIC GRPS
4 AMER AND ETHNIC GRPS
5 IT DEPENDS
8 DK
9 NA
1695
AMISSUE Label: Degree R invokes just American identity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL ISSUES
2 MOST ISSUES
3 SOME ISSUES
4 JUST A FEW ISSUES
8 DK
9 NA
1696
ETHISSUE Label: Degree R invokes ethnic identity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL ISSUES
2 MOST ISSUES
3 SOME ISSUES
4 JUST A FEW ISSUES
8 DK
9 NA
1697
ETHID1 Label: R primary identity as ethnic or American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 JUST AN AMERICAN
2 SOME PART. ETHNIC GRP
3 2 OR MORE ETHNIC GRPS
4 IT DEPENDS
8 DK
9 NA
1698
AMISSUE1 Label: Degree R invokes primary identity as American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL ISSUES
2 MOST ISSUES
3 SOME ISSUES
4 JUST A FEW ISSUES
8 DK
9 NA
1699
ETHISSU1 Label: Degree R invokes primary identity as ethnic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL ISSUES
2 MOST ISSUES
3 SOME ISSUES
4 JUST A FEW ISSUES
8 DK
9 NA
1700
AMRANK Label: American quality of life vs other indus. nations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER IN AMERICA
2 ABOUT THE SAME
3 BETTER IN OTH ADV CNTRY
8 DK
9 NA
1701
AMPROUD Label: R pride in being American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY PROUD
2 VERY PROUD
3 SOMEWHAT PROUD
4 NOT VERY PROUD
8 DK
9 NA
1702
MELTPOT Label: R attitude toward mixing cultures in us
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MAINTAIN DISTINCT CULTURES
7 BLEND IN TO LARGER SOCIETY
8 DK
9 NA
1703
GVTAPART Label: Should govt policy maintain distinct cultures
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT TO HELP
2 LEFT UP TO GROUPS
8 DK
9 NA
1704
GVTMELT Label: Should govt help blend cultures
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT TO HELP
2 LEFT UP TO GROUPS
8 DK
9 NA
1705
ETHORGS Label: Do ethnic orgs promote separatism
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1706
ETHSPKOK Label: Allow free speech offensive to ethnic groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1707
ETHSPKNO Label: Ban opinions harmful to other groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1708
SYMPTBLK Label: R feel sympathy towards blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 FAIRLY OFTEN
3 NOT TOO OFTEN
4 NEVER
8 DK
9 NA
1709
ADMIRBLK Label: R express admiration for blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 FAIRLY OFTEN
3 NOT TOO OFTEN
4 NEVER
8 DK
9 NA
1710
BILINGED Label: Support or oppose bilingual education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FAVOR
2 SOMEWHAT FAVOR
3 SOMEWHAT OPPOSED
4 STRONGLY OPPOSED
8 DK
9 NA
1711
ENGTEACH Label: Opinion on teaching classes only in English
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL CLASSES IN ENGLISH
2 1-2 YRS IN NATIVE LANG
3 NATIVE LANG THRU HS
8 DK
9 NA
1712
ENGBALLT Label: Attitude toward printing ballots only in English
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONLY IN ENGLISH
2 IN OTHER LANGS
8 DK
9 NA
1713
ENGOFFCL Label: Favor law making English the official language
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
3 NEITHER FAVOR NOR OPPOSE
5 OPPOSE
8 DK
9 NA
1714
LETIN Label: Increase or decrease immigrants to us
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASED A LOT
2 INCREASED A LITTLE
3 SAME AS NOW
4 DECREASED A LITTLE
5 DECREASED A LOT
8 DK
9 NA
1715
HSPASN10 Label: Change in ethnic status in local community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LARGER SHARE
2 SAME SHARE
3 SMALLER SHARE
8 DK
9 NA
1716
IMMECON Label: Will immigrants lead to economic growth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT SO LIKELY
4 NOT AT ALL LIKELY
8 DK
9 NA
1717
IMMUNEMP Label: Will immigrants fuel unemployment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT SO LIKELY
4 NOT AT ALL LIKELY
8 DK
9 NA
1718
IMMUNITE Label: Will immigrants affect national unity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT SO LIKELY
4 NOT AT ALL LIKELY
8 DK
9 NA
1719
IMMFARE Label: Immigrants eligible for govt assistance?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ELIGIBLE
2 NOT ELIGIBLE
8 DK
9 NA
1720
UNDOCWRK Label: Should illegal immigrants get work permits?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ENTITLED
2 NO, NOT ENTITLED
8 DK
9 NA
1721
UNDOCCOL Label: Illegal immigrants access to public univeR'sities?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ENTITLED
2 NO, NOT ENTITLED
8 DK
9 NA
1722
UNDOCKID Label: Us citizenship for children of illegal immigrants
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, QUALIFY
2 NO, NOT QUALIFY
8 DK
9 NA
1723
IMMPUSH Label: Are immigrants demanding too many rights?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1724
IMMWRKUP Label: Should immigrants overcome bias without help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1725
COLAFF Label: Chance blacks get to college ahead of whites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT LIKELY
8 DK
9 NA
1726
COLAFFY Label: Chance whites excluded from college over blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT LIKELY
8 DK
9 NA
1727
DISCAFFY Label: Chance blacks promoted ahead of whites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT LIKELY
8 DK
9 NA
1728
JOBAFF Label: Favor preferences in hiring blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FOR PREF
2 FOR PREFERENCE
3 AGAINST PREFERENCE
4 STRONGLY AGAINST PREF
8 DK
9 NA
1729
OWNETH Label: Do ethic politicians serve ethnic groups better
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LEADERS FROM OWN BACKGROUND
2 LEADERS BACKGROUND NO MATTER
8 DK
9 NA
1730
CONGETH Label: Should ethnic congressmen represent ethnic groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CONSIDER ETHNIC BACKGROUND
2 ABILITY, NOT BACKGROUND
8 DK
9 NA
1731
TEACHETH Label: Ethnicity of college faculty reflect students
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CONSIDER ETHNIC BACKGROUND
2 ABILITY, NOT BACKGROUND
8 DK
9 NA
1732
SCHLETH Label: Ethnicity or professional schools mirror students
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CONSIDER ETHNIC BACKGROUND
2 ABILITY, NOT BACKGROUND
8 DK
9 NA
1733
ETHHIST Label: Minority history adequately taught in school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH ATTENTION NOW
2 TOO LITTLE ATTENTION
3 ABOUT THE RIGHT AMOUNT
8 DK
9 NA
1734
WHOTEACH Label: Should only minorities teach minority history
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
1735
WHTGOVT Label: Do whites get proper govt attention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH MORE
2 MORE
3 ABOUT RIGHT
4 LESS
5 MUCH LESS
8 DK
9 NA
1736
BLKGOVT Label: Do blacks get proper govt attention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH MORE
2 MORE
3 ABOUT RIGHT
4 LESS
5 MUCH LESS
8 DK
9 NA
1737
HSPGOVT Label: Do Hispanic-Americans get proper govt attention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH MORE
2 MORE
3 ABOUT RIGHT
4 LESS
5 MUCH LESS
8 DK
9 NA
1738
ASNGOVT Label: Do Asian-Americans get proper govt attention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH MORE
2 MORE
3 ABOUT RIGHT
4 LESS
5 MUCH LESS
8 DK
9 NA
1739
WLTHIMM Label: Are legal immigrants rich or poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DK
9 NA
1740
WLTHUNDC Label: Are illegal immigrants rich or poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 RICH
7 POOR
8 DK
9 NA
1741
WORKIMM Label: Are legal immigrants hard working
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARD-WORKING
7 LAZY
8 DK
9 NA
1742
WORKUNDC Label: Are illegal immigrants hard working
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARD-WORKING
7 LAZY
8 DK
9 NA
1743
OBRESPCT Label: Teach children respect for authority and obedience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
1744
ECONPAST Label: Has national economy improved last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOTTEN BETTER
2 STAYED THE SAME
3 GOTTEN WORSE
8 DK
9 NA
1745
PASTUP Label: Degree of improvement in national economy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 SOMEWHAT BETTER
8 DK
9 NA
1746
PASTDOWN Label: Degree national economy has gotten worse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH WORSE
2 SOMEWHAT WORSE
8 DK
9 NA
1747
ECONFUTR Label: Predictions for national economy in next year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GET BETTER
2 STAY THE SAME
3 GET WORSE
8 DK
9 NA
1748
FUTRUP Label: Degree economy will improve in next year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 SOMEWHAT BETTER
8 DK
9 NA
1749
FUTRDOWN Label: Degree economy will get worse over next year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH WORSE
2 SOMEWHAT WORSE
8 DK
9 NA
1750
RDISCAFF Label: Chances family member not promoted for other race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 VERY UNLIKELY
8 DK
9 NA
1751
RIMMDISC Label: Chances illegal immigrants favored over family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 VERY UNLIKELY
8 DK
9 NA
1752
ROMANCE Label: Do you have a main romantic involvement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 HAS SAME GENDER PARTNER
8 DK
9 NA
1753
LIVEWITH Label: Do you live together?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 HAS SAME GENDER PARTNER
8 DK
9 NA
1754
HAPROM Label: Describe your romantic relationship?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY HAPPY
2 PRETTY HAPPY
3 NOT TOO HAPPY
8 DONT KNOW
9 NA
1755
WILLWED1 Label: How likely you two will get married?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 VERY UNLIKELY
8 DK
9 NA
1756
WILLWED2 Label: If right person would you marry?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 HAS SAME GENDER PARTNER
8 DK
9 NA
1757
HAPGIRLS Label: Girls' chances for a happy family life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER
2 ABOUT THE SAME
3 WORSE
8 DONT KNOW
9 NA
1758
HAPBOYS Label: Boys' chances for a happy family life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER
2 ABOUT THE SAME
3 WORSE
8 DONT KNOW
9 NA
1759
FEJOBAFF Label: For or against preferential hiring of women
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY FOR
2 FOR
3 AGAINST
4 STRONGLY AGAINST
8 DK
9 NA
1760
TRADMOD Label: Man alone-both responsible for providing income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MAN ALONE RESPONSIBLE
2 BOTH RESPONSIBLE
8 DK
9 NA
1761
SHARESEP Label: Man and woman do things together-separate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MAN WOMAN DO THINGS TOGETHER
2 MAN WOMAN DO THINGS SEPARATE
8 DK
9 NA
1762
EMOTEOTH Label: Man and woman emotionally dependent-independent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MAN WOMAN EMOTIONALLY DEPENDENT
2 MAN WOMAN EMOTIONALLY INDEPENDENT
8 DK
9 NA
1763
RHMEWRK Label: How much housework R does
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL
2 MOST
3 ABOUT HALF
4 SOME
5 VERY LITTLE OR NONE
6 NOT MARRIED-LIVING WITH PARTNER
8 DK
9 NA
1764
SPHMEWRK Label: How much housework r's spouse does
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL
2 MOST
3 ABOUT HALF
4 SOME
5 VERY LITTLE OR NONE
6 NOT MARRIED-LIVING WITH PARTNER
8 DK
9 NA
1765
FAIRHWRK Label: Division of work unfair to you or spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAIR TO BOTH
2 UNFAIR TO ME
3 UNFAIR TO MY SPOUSE OR PARTNER
8 DONT KNOW
9 NA
1766
EARNMORE Label: Who earns more money?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I EARN MUCH MORE THAN MY SPOUSE
2 I EARN SOMEWHAT MORE THAN MY SPOUSE
3 WE EARN ABOUT THE SAME AMOUNT
4 MY SPOUSER-PARTNER EARNS SOMEWHAT MORE
5 MY SPOUSE-PARTNER EARNS MUCH MORE
8 DK
9 NA
1767
FAMLIFE Label: How successful in family life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL SUCCESSFUL
2 NOT VERY SUCCESSFUL
3 SOMEWHAT SUCCESSFUL
4 VERY SUCCESSFUL
5 COMPLETELY SUCCESSFUL
8 DONT KNOW
9 NA
1768
WORKLIFE Label: How successful in work life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL SUCCESSFUL
2 NOT VERY SUCCESSFUL
3 SOMEWHAT SUCCESSFUL
4 VERY SUCCESSFUL
5 COMPLETELY SUCCESSFUL
8 DONT KNOW
9 NA
1769
BALWKFAM Label: How successful balancing work & family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL SUCCESSFUL
2 NOT VERY SUCCESSFUL
3 SOMEWHAT SUCCESSFUL
4 VERY SUCCESSFUL
5 COMPLETELY SUCCESSFUL
8 DONT KNOW
9 NA
1770
REFPROMO Label: Refuse a job promotion?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1771
REFMORWK Label: Take on additional paid work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1772
REFXHOUR Label: Refuse to work overtime or extra hours?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1773
WORKLESS Label: Cut back on your work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1774
NOATHOME Label: Miss a family occasion or holiday?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1775
NONURSE Label: Unable to care for a sick child-relative?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1776
NOHMEWRK Label: Unable to do the work around the house?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1777
DISCAFFM Label: A man won't get a job or promotion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 VERY UNLIKELY
8 DONT KNOW
9 NA
1778
DISCAFFW Label: A woman won't get a job or promotion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 VERY UNLIKELY
8 DONT KNOW
9 NA
1779
FLEXTIME Label: Allow workers more flexible hours
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, SHOULD OFFER THIS OPTION
2 NO, SHOULD NOT OFFER THIS OPTION
8 DONT KNOW
9 NA
1780
PARLEAVE Label: Offer paid time off to new parents.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, SHOULD OFFER THIS OPTION
2 NO, SHOULD NOT OFFER THIS OPTION
8 DONT KNOW
9 NA
1781
MENBEN Label: Men benefit from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1782
WOMENBEN Label: Women benefit from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1783
CHLDBEN Label: Children benefit from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1784
ALLBEN Label: Everyone benefit from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1785
NOONEBEN Label: No one benefit from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1786
MENHRT Label: Men hurt from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1787
WOMENHRT Label: Women hurt from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1788
CHLDHRT Label: Children hurt from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1789
ALLHRT Label: Everyone hurt from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1790
NOONEHRT Label: No one hurt from traditional family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1791
FELESS1 Label: How important men work harder explain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1792
FELESS2 Label: How important women's family responsibilities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1793
FELESS3 Label: How important give men better paying jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1794
FEKIDS1 Label: How important women biologically better-suited
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1795
FEKIDS2 Label: How important women are taught from childhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1796
FEKIDS3 Label: How important the way society is set up
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1797
FEKIDS4 Label: How important men have more freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1798
FEKIDS5 Label: How important it is god's will
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 SOMEWHAT IMPORTANT
4 NOT AT ALL IMPORTANT
8 DONT KNOW
9 NA
1799
MEBEAR Label: Can husband refuse to sire children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1800
FEHIRE Label: Should hire and promote women
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1801
FEMINIST Label: Think yourself as a feminist?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, A FEMINIST
2 NO, NOT A FEMINIST
8 DONT KNOW
9 NA
1802
FENEWS Label: How often pay attention to women issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 FAIRLY OFTEN
3 NOT TOO OFTEN
4 NEVER
8 DK
9 NA
1803
HMEMAKER Label: Full-time homemakeR's lives improved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED THEIR LIFE
2 MADE THEIR LIFE WORSE
3 HAD NO EFFECT ON THEIR LIFE
8 DONT KNOW
9 NA
1804
WRKCLASS Label: Working-class women's lives improved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED THEIR LIFE
2 MADE THEIR LIFE WORSE
3 HAD NO EFFECT ON THEIR LIFE
8 DONT KNOW
9 NA
1805
MANPROF Label: Professional women's lives improved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED THEIR LIFE
2 MADE THEIR LIFE WORSE
3 HAD NO EFFECT ON THEIR LIFE
8 DONT KNOW
9 NA
1806
MEN Label: Men's lives improved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED THEIR LIFE
2 MADE THEIR LIFE WORSE
3 HAD NO EFFECT ON THEIR LIFE
8 DONT KNOW
9 NA
1807
CHILDREN Label: Children's lives improved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED THEIR LIFE
2 MADE THEIR LIFE WORSE
3 HAD NO EFFECT ON THEIR LIFE
8 DONT KNOW
9 NA
1808
YOURSELF Label: R's life improved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMPROVED MY LIFE
2 MADE MY LIFE WORSE
3 HAD NO EFFECT ON MY LIFE
8 DONT KNOW
9 NA
1809
SHAKEBLU Label: Felt that couldn't shake the blues?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1810
CALM Label: Felt calm?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1811
OUTRAGED Label: Felt outraged at something somebody
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1812
HAPFEEL Label: Felt happy?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1813
SAD Label: Felt sad?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1814
ASHAMED Label: Felt ashamed of something you'd done?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1815
EXCITED Label: Felt excited or interested in something?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1816
LONELY Label: Felt lonely?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1817
FEARFUL Label: Felt fearful about something
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1818
OVRJOYED Label: Felt overjoyed about something?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1819
WORRIED Label: Felt worried?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1820
CONTENTD Label: Felt contented?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1821
ANXIOUS Label: Felt anxious and tense?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1822
RESTLESS Label: Felt restless?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1823
MADAT Label: Felt mad at something or someone?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1824
ATEASE Label: Felt at ease?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1825
ANGRY Label: Felt angry at someone?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1826
EMBARRSS Label: Felt embarrassed about something?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1827
PROUD Label: Felt proud of something you'd done?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
1828
NOPLAN Label: There's no sense planning a lot
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1829
BADBRKS Label: Most of my problems are due to bad breaks.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1830
MOSTLUCK Label: Good things are mostly luck.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1831
LITCNTRL Label: I have little control over the bad things
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1832
SHOWANGR Label: When i'm angry i let people know.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1833
SHOWFEEL Label: I'm not afraid to show my feelings.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1834
NOEMOTE Label: I keep my emotions to myself.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1835
NOTUPSET Label: Don't tell friends something upsetting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1836
BEPLESNT Label: I try to be pleasant so not to upset oth.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1837
NOTWORRY Label: When anxious, try not to worry anyone else.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE OR DISAGREE-IT DEPENDS
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1838
ANGRYWRK Label: Last time R felt really angry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1839
ANGRYFAM Label: Last time R felt really angry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1840
ANGRYGVT Label: Last time R felt really angry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1841
ANGRYWHY Label: Last time R felt really angry
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
1842
ANGRYEV Label: Was an event recalled?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
1843
WHNANGRY Label: How long ago did this event happen?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TODAY
2 YESTERDAY
3 UP TO A WEEK AGO
4 UP TO A MONTH AGO
5 MONTHS AGO
8 DONT KNOW
9 NA
1844
MADAT1 Label: Angry at my husband-wife etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1845
MADAT2 Label: Angry at son
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1846
MADAT3 Label: Angry at daughter
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1847
MADAT4 Label: Angry at mother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1848
MADAT5 Label: Angry at father
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1849
MADAT6 Label: Angry at sister
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1850
MADAT7 Label: Angry at brother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1851
MADAT8 Label: Angry at another family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1852
MADAT9 Label: Angry at a friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1853
MADAT10 Label: Angry at an acquaintance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1854
MADAT11 Label: Angry at a neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1855
MADAT12 Label: Angry at my boss
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1856
MADAT13 Label: Angry at a co-worker
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1857
MADAT14 Label: Angry at subordinate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1858
MADAT15 Label: Angry at a customer or client
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1859
MADAT16 Label: Angry at someone else at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1860
MADAT17 Label: Angry at government employee
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1861
MADAT18 Label: Angry at someone to provide a service
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1862
MADAT19 Label: Angry at public figure
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1863
MADAT20 Label: Angry at stranger (include crowds)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1864
MADAT21 Label: Angry at self
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1865
MADAT22 Label: Angry at an object, circumstances, etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1866
MADAT23 Label: Angry at other
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 EX-SPOUSE
2 OTHER EX-FAMILY
3 HEALTH CARE PERSONNEL
4 TEACHER
5 LANDLORD
6 COMPANY
7 CRIMINAL
8 OTHER
9 NA
1867
HOWANGRY Label: How intense would you say your anger was
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 WEAKEST
10 MOST INTENSE
98 DK
99 NA
1868
ANGRLAST Label: How long did your anger last?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SECONDS
2 MINUTES
3 HOURS
4 ALL THAT DAY
5 SEVERAL DAYS, OR
6 FELT CONTINUOUSLY
9 NA
1869
THNKANGR Label: How often thought about this situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OFTEN
2 EVERY ONCE IN A WHILE
3 JUST ONCE OR TWICE
4 NEVER-NOT ONCE UNTIL NOW
8 DK
9 NA
1870
CHNANG1 Label: Think about the situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1871
CHNANG2 Label: Had a drink or took a pill
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1872
CHNANG3 Label: Talked to the person i was angry at
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1873
CHNANG4 Label: Talked to someone else
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1874
CHNANG5 Label: Tried to forget it
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1875
CHNANG6 Label: Tried to change the situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1876
CHNANG7 Label: Prayed for help from god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1877
CHNANG8 Label: Fantasized about a magical solution
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1878
CHNANG9 Label: Went out to get some exercise
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1879
CHNANG10 Label: Yelled or hit something
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1880
CHNANG11 Label: Waited for feelings to pass
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1881
CHNANG12 Label: Tried to accept the situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1882
CHNANG13 Label: Left the situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1883
CHNANG14 Label: Thought about how to get revenge
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1884
CHNANG15 Label: Planned how to end the relationship
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1885
CHNANG16 Label: Other (specify)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID
2 DIDNT
8 DK
9 NA
1886
REACTOK Label: Did R feel reaction was appropriate
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 COMPLETELY RIGHT
10 COMPLETELY WRONG
98 DK
99 NA
1887
OTHRESP Label: How reSP. person who you were angry at?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NOT AT ALL RESPONSIBLE
10 COMPLETELY RESPONSIBLE
98 DK
99 NA
1888
SELFRESP Label: How reSP. do you feel for the situation?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NOT AT ALL RESPONSIBLE
10 COMPLETELY RESPONSIBLE
98 DK
99 NA
1889
LIKEOTH Label: How much do you like or dislike the person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIKE HIM-HER-THEM A GREAT DEAL
2 LIKE HIM-HER-THEM A LITTLE
3 FEEL NEUTRAL TOWARD HIM-HER-THEM
4 DISLIKE HIM OR HER-THEM A LITTLE
5 DISLIKE HIM OR HER-THEM A LOT
6 IF VOLUNTEERED - LOVE
7 IF VOLUNTEERED - DONT KNOW
8 DK
9 NA
1890
AMIMP Label: How important is being an American to you
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NOT AT ALL
10 MOST
98 DK
99 NA
1891
NOTAM Label: If not American, how much change
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETELY DIFFERENT
2 QUITE DIFFERENT
3 SOMEWHAT DIFFERENT
4 JUST SLIGHTLY DIFFERENT
5 NOT AT ALL DIFFERENT
7 CITIZEN OF ANOTHER COUNTRY
8 DONT KNOW
9 NO ANSWER
1892
USWORRY Label: How often do you feel worried for us?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 RARELY
5 NEVER
8 DONT KNOW
9 NO ANSWER
1893
USSAT Label: Thinking us how often feel satisfied
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 RARELY
5 NEVER
8 DONT KNOW
9 NO ANSWER
1894
USFRUSTR Label: Thinking us how often feel frustrated?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 RARELY
5 NEVER
8 DONT KNOW
9 NO ANSWER
1895
USENTHUS Label: Thinking us how often feel enthusiastic?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 RARELY
5 NEVER
8 DONT KNOW
9 NO ANSWER
1896
USANGRY Label: Thinking us how often feel angry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 RARELY
5 NEVER
8 DONT KNOW
9 NO ANSWER
1897
USHOPEFL Label: Thinking us how often feel hopeful?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 RARELY
5 NEVER
8 DONT KNOW
9 NO ANSWER
1898
USUPSET Label: Thinking us how often feel upset?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 MOST OF THE TIME
3 SOME OF THE TIME
4 RARELY
5 NEVER
8 DONT KNOW
9 NO ANSWER
1899
CARPRIVT Label: Have you purchased a used car past 5 yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1900
RELPRIVT Label: Relationship to the seller of the vehicle
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A RELATIVE,INCLUDING IN-LAWS
2 A FRIEND OR ACQUAINTANCE
3 A FRIEND OF A FRIEND-RELATIVE
4 PREVIOUS BUSINESS DEALINGS
5 NO PRIOR RELATIONSHIP
8 DK
9 NA
1901
WARRNTYC Label: Did the seller provide a warranty?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES -- INFORMAL ASSURANCE
2 YES -- WRITTEN GUARANTEE
3 NO
8 DONT KNOW
9 NA
1902
CARDEALR Label: Purchased a car from a dealership past 5 yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1903
NEWUSED Label: Was the car new or used?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEW
2 USED
9 NA
1904
TYPDEALR Label: Rwas the agency a new or used car dealeR'ship?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEW CAR DEALERSHIP
2 USED CAR DEALERSHIP
9 NA
1905
CARBUYA Label: R's own previous knowledge made R buy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1906
CARBUYB Label: A friend or relative recommended R buy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1907
CARBUYC Label: An acquaintance recommended R buy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1908
CARBUYD Label: General reputation made R buy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1909
CARBUYE Label: R saw their advertisement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1910
CARBUYF Label: R searched for the best price
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1911
CARBUYG Label: Convenience made R buy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1912
CARBUY1 Label: What was the most important reason?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
9 NA
1913
RELDEALR Label: R relationship to the salesperson
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A RELATIVE , INCLUDING IN-LAWS
2 A FRIEND OR ACQUAINTANCE
3 A FRIEND OF A FRIEND-RELATIVE
4 PREVIOUS BUSINESS DEALINGS
5 NO PRIOR RELATIONSHIP
8 DK
9 NA
1914
SATCAR Label: How satisfied are you with your purchase?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT TOO SATISFIED
2 PRETTY SATISFIED
3 EXTREMELY SATISFIED
8 DK
9 NA
1915
EVBUYHME Label: Have you ever purchased a home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1916
HOMEYEAR Label: Rmost recent home you have purchased.
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
1917
LEARNHME Label: How learned the availability of the home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FROM A RELATIVE, INCLUDING IN-LAWS
2 A FRIEND OR ACQUAINTANCE
3 A FRIEND OF A FRIEND OR RELATIVE, ETC
4 FROM AN ADVERTISEMENT OR SIGN
5 FROM A REAL ESTATE AGENT
6 I BUILT IT MYSELF
8 DK
9 NA
1918
NEWOWNED Label: Was the home new or previously owned?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEW
2 PREVIOUSLY OWNED
9 NA
1919
RELHOME Label: Relationship to the previous owner of the home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A RELATIVE INCLUDING IN-LAWS
2 A FRIEND OR ACQUAINTANCE
3 A FRIEND OF A FRIEND-RELATIVE
4 HAD PREVIOUS BUSINESS DEALINGS
5 NO PRIOR RELATIONSHIP
8 DK
9 NA
1920
WHOSOLD Label: Describe your purchase
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DIRECTLY FROM BUILDER
2 DIRECTLY FROM PREVIOUS OWNER
3 THROUGH A REAL ESTATE AGENT
4 OTHER
9 NA
1921
REALTORA Label: R's own previous knowledge made R choose
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1922
REALTORB Label: A friend-relative recommended R choose
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1923
REALTORC Label: An acquaintance recommended R choose
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1924
REALTORD Label: General reputation made R choose
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1925
REALTORE Label: I saw their advertisement made R choose
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1926
REALTORF Label: Convenience made R choose the realtor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1927
REALTOR1 Label: What was the most important reason?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
9 NA
1928
RELAGENT Label: Your relationship to the real estate agent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A RELATIVE INCLUDING IN-LAWS
2 A FRIEND OR ACQUAINTANCE
3 A FRIEND OF A FRIEND-RELATIVE
4 HAD PREVIOUS BUSINESS DEALINGS
5 NO PRIOR RELATIONSHIP
8 DK
9 NA
1929
WARRNTYH Label: Did the seller provide any warranty
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES -- INFORMAL ASSURANCE
2 YES -- WRITTEN GUARANTEE
3 NO
8 DONT KNOW
9 NA
1930
SATHOME Label: How satisfied with your purchase
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT TOO SATISFIED
2 PRETTY SATISFIED
3 EXTREMELY SATISFIED
8 DK
9 NA
1931
LAWYER Label: Hired a lawyer in the past 10 yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1932
LAWYERA Label: My own previous knowledge of the firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1933
LAWYERB Label: A friend or relative recommended them
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1934
LAWYERC Label: An acquaintance recommended them.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1935
LAWYERD Label: General reputation in the community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1936
LAWYERE Label: I saw their advertisement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1937
LAWYERF Label: I searched for the best price.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1938
LAWYERG Label: Convenience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1939
LAWYER1 Label: What was the most important reason?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
8 DK
9 NA
1940
RELLAW Label: Relationship to the attorney
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A RELATIVE INCLUDING IN-LAWS
2 A FRIEND OR ACQUAINTANCE
3 A FRIEND OF A FRIEND OR RELATIVE ETC
4 PREVIOUS BUSINESS DEALINGS
5 NO PRIOR RELATIONSHIP
8 DK
9 NA
1941
SATLAWYR Label: How satisfied with the legal services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT TOO SATISFIED
2 PRETTY SATISFIED
3 EXTREMELY SATISFIED
8 DK
9 NA
1942
FIXHOME Label: Home maintenance services past 10 years?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1943
FIXERA Label: My own previous knowledge of the firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1944
FIXERB Label: A friend or relative recommended them
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1945
FIXERC Label: An acquaintance recommended them.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1946
FIXERD Label: General reputation in the community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1947
FIXERE Label: I saw their advertisement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1948
FIXERF Label: I searched for the best price
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1949
FIXER1 Label: What was the most important reason?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
8 DK
9 NA
1950
RELFIXER Label: Relationship to the person who did the work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A RELATIVE INCLUDING IN-LAWS
2 A FRIEND OR ACQUAINTANCE
3 A FRIEND OF A FRIEND-RELATIVE, ETC
4 PREVIOUS BUSINESS DEALINGS
5 NO PRIOR RELATIONSHIP
8 DK
9 NA
1951
SATFIXES Label: How satisfied were you with the work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT TOO SATISFIED
2 PRETTY SATISFIED
3 EXTREMELY SATISFIED
8 DK
9 NA
1952
BORROWED Label: Have you borrowed $100+ from another person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1953
WHOLOAND Label: From whom did you borrow this money?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PARENTS OR GRANDPARENTS
2 CHILDREN
3 OTHER RELATIVE
4 FRIEND
5 CO-WORKER OR BUS. ASSOCIATE
6 OTHER-SPECIFY
8 DK
9 NA
1954
SELLBED Label: Would you rather sell bedroom furniture
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1955
SELLAUTO Label: O would you rather sell an automobile
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1956
SELLHOME Label: E would you rather sell a house-condominium
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1957
TRANSOTH Label: Hwould you be to mention problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WOULD NOT MENTION IT
2 PROBABLY WOULD NOT
3 PROBABLY WOULD
4 DEFINITELY WOULD MENTION IT
8 DONT KNOW
9 NA
1958
LOANED Label: Loaned $100+ past 12 months?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1959
LOANEDTO Label: Oto whom did you lend this money?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PARENTS OF GRANDPARENTS
2 CHILDREN
3 OTHER RELATIVE
4 FRIEND
5 CO-WORKER OR BUS. ASSOCIATE
6 OTHER SPECIFY
8 DK
9 NA
1960
BUYBED Label: Would you buy furniture from a business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1961
BUYAUTO Label: Would you buy a car from a business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1962
BUYLAW Label: Would you buy legal svcs from a business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1963
BUYFIXES Label: Would you buy home maintenance from a business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1964
BUYHOME Label: Would you buy a house from a business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG PREFERENCE NO CONTACT
3 DONT CARE
5 STRONG PREFERENCE CONTACT
8 DK
9 NA
1965
TRANSREL Label: How likely to mention problems to relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WOULD NOT MENTION IT
2 PROBABLY WOULD NOT
3 PROBABLY WOULD
4 DEFINITELY WOULD MENTION IT
8 DONT KNOW
9 NA
1966
FRNDDEAL Label: People usually get a better price from friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1967
FRNDAWK Label: Discussing price is awkward among friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NA
1968
TABLPRCE Label: The factory not lowering price acceptable?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ACCEPTABLE
2 UNFAIR
8 DONT KNOW
9 NA
1969
ORGANSB Label: Which procedures be used to assign the organ
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AUCTION
2 FIRST COME-FIRST SERVED
3 LOTTERY
4 MERIT
8 DONT KNOW
9 NA
1970
ORGANSW Label: Which of these procedures would be the worst?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AUCTION
2 FIRST COME-FIRST SERVED
3 LOTTERY
4 MERIT
8 DONT KNOW
9 NA
1971
SELLORGN Label: Should people be permitted to sell a kidney
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY NOT
2 PROBABLY NOT
3 PERHAPS
4 PROBABLY
5 DEFINITELY
8 DONT KNOW
9 NA
1972
ADOPTION Label: Best way to match birth Mothers with adopters?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A SOCIAL SERVICE AGENCY
2 GO TO THE HIGHEST BIDDERS
3 BY LOTTERY
4 BIRTH MOTHERS SHOULD DECIDE
8 DONT KNOW
9 NA
1973
SELLBABY Label: Surrogate Mothers should be permitted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FORBID IT
2 PERMIT IT
8 DONT KNOW
9 NA
1974
SELLSEX Label: Nothing inherently wrong with prostitution
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 DONT KNOW
9 NA
1975
REQINFO Label: Resp. of gov. to require biz. to provide info
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 DONT KNOW
9 NA
1976
NATRECON Label: Natural environments should be left alone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 DISAGREE SOMEWHAT
4 DISAGREE STRONGLY
8 DONT KNOW
9 NA
1977
TAGSALES Label: How frequently do you go to garage sales etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 RARELY
3 OCCASIONALLY 1-3 TIMES A YR
4 REGULARLY
5 ALMOST EVERY WEEKEND
8 DK
9 NA
1978
HAGGLE Label: Do you expect to negotiate for a lower price?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXPECT TO PAY POSTED PRICE
2 NEGOTIATE FOR LOWER PRICE
8 DONT KNOW
9 NA
1979
WKFAMBIZ Label: Work for pay in a farm etc owned by your family?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1980
HRFAMBIZ Label: How many hours per week?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONLY ESPECIALLY BUSY SEASONS
2 LESS THAN 10 HOURS A WEEK
3 BETWEEN 10 AND 30 HOURS A WEEK
4 MORE THAN 30 HOURS A WEEK
8 DK
9 NA
1981
FAMBIZ Label: What kind of business is this?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 MANUFACTURING
2 RETAIL SALES
3 WHOLESALE SALES
4 SERVICES
5 TRANSPORTATION
6 CONSTRUCTION
7 FINANCE, INSRNCE OR REAL EST
8 FARMING
9 OTHER SPECIFY
98 DK
99 NA
1982
ECONSYS Label: Best-needs replaced
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 THE BEST POSSIBLE
2 OK BUT NEED SOME TINKERING
3 NEED FUNDAMENTAL CHANGES
4 NEED TO BE REPLACED
8 DONT KNOW
9 NA
1983
FAMFINAN Label: How you and your spouse organize your finances
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WIFE MANAGES ALL THE MONEY
2 HUSBAND MANAGES ALL THE MONEY
3 WIFE HAS A HOUSEKEEPING ALLOWANCE
4 ALL THE MONEY IS POOLED
5 SOME OF THE MONEY IS POOLED
6 KEEP FINANCES COMPLETELY SEPARATE
8 DK
9 NA
1984
DECAUTO Label: Deciding whether or not to buy an automobile
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HUSBAND ALONE
2 HUSBAND AFTER CONSULTING WITH WIFE
3 HUSBAND AND WIFE TOGETHER
4 WIFE AFTER CONSULTING HUSBAND
5 WIFE ALONE
6 OTHER
8 NOT APPLICABLE
9 NA
1985
DECBED Label: Deciding whether or not to buy bedroom furniture
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HUSBAND ALONE
2 HUSBAND AFTER CONSULTING WITH WIFE
3 HUSBAND AND WIFE TOGETHER
4 WIFE AFTER CONSULTING HUSBAND
5 WIFE ALONE
6 OTHER
8 NOT APPLICABLE
9 NA
1986
DECGIFT Label: Deciding on major charitable gifts.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HUSBAND ALONE
2 HUSBAND AFTER CONSULTING WITH WIFE
3 HUSBAND AND WIFE TOGETHER
4 WIFE AFTER CONSULTING HUSBAND
5 WIFE ALONE
6 OTHER
8 NOT APPLICABLE
9 NA
1987
LAYOFFS Label: Who has the greatest right to keep their jobs?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 THOSE WHO HAVE WORKED LONGEST
2 THOSE WHO HAVE THE GREATEST NEEDS
3 THOSE WHO ARE THE BEST WORKERS
4 DIFFICULTY IN FINDING A NEW JOB
5 UNION MEMBERS
6 OLDER EMPLOYEES
7 YOUNGER EMPLOYEES
8 MEN
9 WOMEN
10 WHITES
11 MINORITIES-NON-WHITES
12 OTHER -PLEASE SPECIFY
13 OWNERS,BOSSES
14 ESSENTIAL EMPLOYEES
15 NEWEST EMPLOYEES
16 MOST LOYAL EMPLOYEES
17 PRODUCTION. HANDS-ON EMPLOYEES
98 DONT KNOW
99 NA
1988
VOLHLTH Label: Done volunteer work in health past 12 mnths
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1989
VOLEDUC Label: Done volunteer work in education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1990
VOLRELIG Label: Done volunteer work in religious org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1991
VOLHUMAN Label: Done volunteer work in human services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1992
VOLENVIR Label: Done volunteer work in environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1993
VOLPUB Label: Done volunteer work in pub-soc benefit
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1994
VOLREC Label: Done volunteer work in recreation adults
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1995
VOLART Label: Done volunteer work in arts, culture, etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1996
VOLWORK Label: Done volunteer work in work-related org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1997
VOLPOL Label: Done volunteer work in political org. etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1998
VOLYOUTH Label: Done volunteer work in youth development
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
1999
VOLFOUND Label: Done volunteer work in priv & comm. found
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2000
VOLINTL Label: Done volunteer work in international
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2001
VOLINFRM Label: Done volunteer work in informal-alone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2002
VOLOTH Label: Done volunteer work in other (specify)___
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2003
MONHLTH Label: Done volunteer work in health past month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2004
MONEDUC Label: Done volunteer work in education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2005
MONRELIG Label: Done volunteer work in religious org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2006
MONHUMAN Label: Done volunteer work in human services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2007
MONENVIR Label: Done volunteer work in environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2008
MONPUB Label: Done volunteer work in pub-soc benefit
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2009
MONREC Label: Done volunteer work in recreation adults
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2010
MONART Label: Done volunteer work in arts, culture, etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2011
MONWORK Label: Done volunteer work in work-related org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2012
MONPOL Label: Done volunteer work in political org. etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2013
MONYOUTH Label: H done volunteer work in youth development
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2014
MONFOUND Label: Done volunteer work in priv & comm. found
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2015
MONINTL Label: Done volunteer work in international
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2016
MONINFRM Label: Done volunteer work in informal-alone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2017
MONOTH Label: Done volunteer work in other (specify)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2018
HRSHLTH Label: How many hours spent in health past month
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2019
HRSEDUC Label: How many hours spent in education
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2020
HRSRELIG Label: How many hours spent in religious org past
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2021
HRSHUMAN Label: How many hours spent in human services
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2022
HRSENVIR Label: How many hours spent in environment
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2023
HRSPUB Label: How many hours spent in pub-soc benefit
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2024
HRSREC Label: How many hours spent in recreation adults
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2025
HRSART Label: How many hours spent in arts, culture
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2026
HRSWORK Label: How many hours spent in work-related org
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2027
HRSPOL Label: How many hours spent in political org. etc
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2028
HRSYOUTH Label: How many hours spent in youth development
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2029
HRSFOUND Label: How many hours spent in priv & comm.
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2030
HRSINTL Label: How many hours spent in international
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2031
HRSINFRM Label: How many hours spent in informal-alone
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2032
HRSOTH Label: How many hours spent in other (specify)
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2033
GIVHLTH Label: Contributed money in 1995 in health
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2034
GIVEDUC Label: Contributed money in education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2035
GIVRELIG Label: Contributed money in religious org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2036
GIVHUMAN Label: Contributed money in human services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2037
GIVENVIR Label: Contributed money in environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2038
GIVPUB Label: Contributed money in pub-soc benefit
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2039
GIVREC Label: Contributed money in recreation adults
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2040
GIVART Label: Contributed money in arts, culture, etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2041
GIVWORK Label: Contributed money in work-related org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2042
GIVPOL Label: Contributed money in political org. etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2043
GIVYOUTH Label: Contributed money in youth development
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2044
GIVFOUND Label: Contributed money in priv & comm. found
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2045
GIVINTL Label: Contributed money in international
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2046
GIVINFRM Label: Contributed money in informal-alone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2047
GIVOTH Label: Contributed money in other (specify)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2048
TOTHLTH Label: How much money contributed in health
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2049
TOTEDUC Label: How much money contributed in education
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2050
TOTRELIG Label: How much money contributed in religious org
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2051
TOTHUMAN Label: How much money contributed in human services
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2052
TOTENVIR Label: How much money contributed in environment
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2053
TOTPUB Label: How much money contributed in pub-soc benefit
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2054
TOTREC Label: How much money contributed in recreation adults
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2055
TOTART Label: How much money contributed in arts, culture, etc
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2056
TOTWORK Label: How much money contributed in work-related org
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2057
TOTPOL Label: How much money contributed in political org. etc
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2058
TOTYOUTH Label: How much money contributed in youth development
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2059
TOTFOUND Label: How much money contributed in priv & comm. found
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2060
TOTINTL Label: How much money contributed in international
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2061
TOTINFRM Label: How much money contributed in informal-alone
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2062
TOTOTH Label: How much money contributed in other (specify)
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2063
VALHLTH Label: Estimated value contributed in health
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2064
VALEDUC Label: Estimated value contributed in education
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2065
VALRELIG Label: Estimated value contributed in religious org
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2066
VALHUMAN Label: Estimated value contributed in human services
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2067
VALENVIR Label: Estimated value contributed in environment
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2068
VALPUB Label: Estimated value contributed in pub-soc benefit
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2069
VALREC Label: Estimated value contributed in recreation adults
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2070
VALART Label: Estimated value contributed in arts, culture, etc
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2071
VALWORK Label: Estimated value contributed in work-related org
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2072
VALPOL Label: Estimated value contributed in political org. etc
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2073
VALYOUTH Label: Estimated value contributed in youth development
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2074
VALFOUND Label: Estimated value contributed in priv & comm. found
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2075
VALINTL Label: Estimated value contributed in international
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2076
VALINFRM Label: estimated value contributed in informal-alone
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2077
VALOTH Label: Estimated value contributed in other (specify)
Format: F5.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 99998; 99999
Value Label
-1 IAP
99998 DK
99999 NA
2078
HOMELESS Label: Contributed to the homeless
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2079
NEEDYNEI Label: Contributed to a needy neighbor.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2080
NEEDYREL Label: Contributed to a needy relative.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2081
NEEDYFRD Label: Contributed to a needy friend.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2082
NEEDYOTH Label: Contributed to other needy person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2083
PROBFIX1 Label: First mention of problem
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2084
PROBFIX2 Label: Second mention of problem
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2085
PROBFIX3 Label: Third mention of problem
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2086
PROBHLP1 Label: First mention to help problem
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2087
PROBHLP2 Label: Second mention to help problem
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2088
PROBHLP3 Label: Third mention to help problem
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2089
VIGVERSN Label: vignette version number
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
2090
SERIOUSP Label: How serious X s situation is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SERIOUS
2 SOMEWHAT SERIOUS
3 NOT VERY SERIOUS
4 NOT AT ALL SERIOUS
8 DONT KNOW
9 NA
2091
CHARACTR Label: How likely X s situation caused by bad character
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2092
IMBALNCE Label: How likely X s situation caused by imbalance in brain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2093
WAYRAISE Label: How likely X s situation caused by the way raised
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2094
STRESSES Label: How likely X s situation caused by stress
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2095
GENETICS Label: How likely X s situation caused by genetic problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2096
GODSWILL Label: How likely X s situation caused by god s will
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2097
UPSDOWNS Label: How likely X is experiencing normal ups-and-downs of life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2098
BREAKDWN Label: How likely X is experiencing nervous breakdown
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2099
MENTLILL Label: How likely X is experiencing mental illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2100
PHYSILL Label: How likely X is experiencing physical illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2101
VIGLABEL Label: How likely X is experiencing vignettes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 DONT KNOW
9 NA
2102
DECTREAT Label: How able is X to decide receive treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY ABLE
2 SOMEWHAT ABLE
3 NOT VERY ABLE
4 NOT ABLE AT ALL
8 DONT KNOW
9 NA
2103
DECMONEY Label: How able is X to decide managing own money
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY ABLE
2 SOMEWHAT ABLE
3 NOT VERY ABLE
4 NOT ABLE AT ALL
8 DONT KNOW
9 NA
2104
IMPRVOWN Label: How likely X s situation will improve on its own
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 NOT LIKELY AT ALL
8 DONT KNOW
9 NA
2105
IMPRVTRT Label: How likely X s situation will improve with treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 SOMEWHAT UNLIKELY
4 NOT LIKELY AT ALL
8 DONT KNOW
9 NA
2106
VIGNEI Label: How willing R would have X as a neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WILLING
2 PROBABLY WILLING
3 PROBABLY UNWILLING
4 DEFINITELY UNWILLING
8 DONT KNOW
9 NA
2107
VIGSOC Label: How willing R would spend time socializing with X
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WILLING
2 PROBABLY WILLING
3 PROBABLY UNWILLING
4 DEFINITELY UNWILLING
8 DONT KNOW
9 NA
2108
VIGFRND Label: How willing R would make friends with X
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WILLING
2 PROBABLY WILLING
3 PROBABLY UNWILLING
4 DEFINITELY UNWILLING
8 DONT KNOW
9 NA
2109
VIGWORK Label: How willing R would work closely with X on a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WILLING
2 PROBABLY WILLING
3 PROBABLY UNWILLING
4 DEFINITELY UNWILLING
8 DONT KNOW
9 NA
2110
VIGGRP Label: How willing R would have a group home for x
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WILLING
2 PROBABLY WILLING
3 PROBABLY UNWILLING
4 DEFINITELY UNWILLING
8 DONT KNOW
9 NA
2111
VIGMAR Label: How willing R would have X marry in R's family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY WILLING
2 PROBABLY WILLING
3 PROBABLY UNWILLING
4 DEFINITELY UNWILLING
8 DONT KNOW
9 NA
2112
HURTOTH Label: How likely X violent toward other people
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT LIKELY AT ALL
8 DONT KNOW
9 NA
2113
HURTSELF Label: How likely X violent toward oneself
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT LIKELY AT ALL
8 DONT KNOW
9 NA
2114
TLKFAM Label: X should talk to family and friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2115
TLKCLRGY Label: X should talk to religious leader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2116
MEDDOC Label: X should go to general medical doctor for help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2117
MENTLDOC Label: X should go to psychiatrist for help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2118
MENTLOTH Label: X should go to other mental health professional for help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2119
SPHEALER Label: X should go to spiritual healer for help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2120
SELFHELP Label: X should join a self-group with similar problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2121
OTCMED Label: X should take non-prescription medication
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2122
RXMED Label: X should take prescription medication
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2123
MENTLHOS Label: X should check into a mental hospital
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2124
ORTLKFM Label: In what order talk things over with family & friends
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2125
ORTLKCLR Label: In what order talk to a minister, priest, rabbi etc
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2126
ORMEDDOC Label: In what order go to a general medical doctor
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2127
ORMNTLDC Label: In what order go to a psychiatrist for help
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2128
ORMNTLOT Label: In what order go to a therapist, or counselor
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2129
ORHEALER Label: In what order go to a spiritual or a natural healer
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2130
ORSLFHLP Label: In what order join a self-help group
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2131
OROTCMED Label: In what order take non-prescription medication
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2132
ORRXMED Label: In what order take prescription medication
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2133
ORMNTLHS Label: In what order check into a mental hospital
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2134
MUSTDOC Label: X should be forced to be examined at a clinic by law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2135
MUSTMED Label: X should be forced to take prescribed medication by law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2136
MUSTHOSP Label: X should be admitted to be hospitalized for treatment by law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2137
DANGRSLF Label: X should be admitted to be hospitalized for treatment if dangerous to x
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2138
DANGROTH Label: X should be admitted to be hospitalized for treatment if dangerous to others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2139
MEDCARE1 Label: Who R thinks should be most responsible for cost of xs medical care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NAME, HIM-HERSELF
2 HIS-HER FAMILY
3 GOVERNMENT
4 INSURANCE
5 PRIVATE CHARITY
8 DONT KNOW
9 NA
2140
MEDCARE2 Label: Who R thinks should be next most responsible for cost of xs medical care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HIS-HER FAMILY
2 GOVERNMENT
3 INSURANCE
4 PRIVATE CHARITY
8 DONT KNOW
9 NA
2141
SPMENTL Label: Govt spending on health
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND THE SAME AS NOW
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
2142
GOVMENTL Label: Should govt provide health care for mental illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD BE
2 PROBABLY SHOULD BE
3 PROBABLY SHOULD NOT BE
4 DEFINITELY SHOULD NOT BE
8 CANT CHOOSE
9 NA
2143
MNTLAS1 Label: 1st mention, what mental illness is, asserted
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2144
MNTLAS2 Label: 2nd mention, what mental illness is, asserted
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2145
MNTLIMP1 Label: 1st mention, what mental illness is, imputed
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2146
MNTLIMP2 Label: 2nd mention, what mental illness is, imputed
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2147
MNTLIMP3 Label: 3rd mention, what mental illness is, imputed
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2148
MNTLSYM1 Label: 1st mention, what mental illness is, symptoms
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2149
MNTLSYM2 Label: 2nd mention, what mental illness is, symptoms
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2150
MNTLSYM3 Label: 3rd mention, what mental illness is, symptoms
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2151
MNTLOTH Label: What mental illness is, other codes
Format: F4.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9999
Value Label
0 IAP
9999 NA
2152
BRKDAS1 Label: 1st mention, what nervous breakdown is, asserted
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2153
BRKDAS2 Label: 2nd mention, what nervous breakdown is, asserted
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2154
BRKDIMP1 Label: 1st mention, what nervous breakdown is, imputed
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2155
BRKDIMP2 Label: 2nd mention, what nervous breakdown is, imputed
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2156
BRKDIMP3 Label: 3rd mention, what nervous breakdown is, imputed
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2157
BRKDSYM1 Label: 1st mention, what nervous breakdown is, symptoms
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2158
BRKDSYM2 Label: 2nd mention, what nervous breakdown is, symptoms
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2159
BRKDSYM3 Label: 3rd mention, what nervous breakdown is, symptoms
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2160
BRKDOTH Label: What nervous breakdown is, other codes
Format: F4.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9999
Value Label
0 IAP
9999 NA
2161
KNWMHOSP Label: Know anyone who was in a hospital
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 NOT SURE
9 NA
2162
RELMHSP1 Label: Patient was self
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF
2 NOT SELF
8 DONT KNOW
9 NA
2163
RELMHSP2 Label: Patient was immediate family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IMM. FAM
2 NOT IMM. FAM
8 DONT KNOW
9 NA
2164
RELMHSP3 Label: Patient was other relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OTH RELATIVE
2 NOT OTH RELATIVE
8 DONT KNOW
9 NA
2165
RELMHSP4 Label: Patient was close friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CLOSE FRIEND
2 NOT CLOSE FRIEND
8 DONT KNOW
9 NA
2166
RELMHSP5 Label: Patient was acquaintance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ACQUAINTANCE
2 NOT ACQUAINTANCE
8 DONT KNOW
9 NA
2167
RELMHSP6 Label: Patient was other
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OTHER
2 NOT OTHER
8 DONT KNOW
9 NA
2168
KNWPATNT Label: Known anyone seeing a psychologist etc?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2169
EVBRKDWN Label: Ever felt going to have a nervous breakdown?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2170
BRKDWHY1 Label: 1st mention cause of ner. break feelings
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2171
BRKDWHY2 Label: 2nd mention cause of ner. break feelings
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2172
BRKDWHY3 Label: 3rd mention cause of ner. break feelings
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2173
BRKDDO1 Label: 1st mention what R did when felt ner. break
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2174
BRKDDO2 Label: 2nd mention what R did when felt ner. break
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2175
BRKDDO3 Label: 3rd mention what R did when felt ner. break
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2176
BRKDHLP1 Label: 1st mention what help R sought
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2177
BRKDHLP2 Label: 2nd mention what help R sought
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2178
BRKDHLP3 Label: 3rd mention what help R sought
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2179
BRKDTIME Label: When feelings of nervous breakdown happened
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
9 NA
2180
BRKDDUR Label: Duration, severity of nervous breakdown feelings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
9 NA
2181
EVMHP Label: Ever had mental health problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 NOT SURE
9 NA
2182
MNILWHY1 Label: 1st mention cause of mental illness feelings
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2183
MNILWHY2 Label: 2nd mention cause of mental illness feelings
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2184
MNILWHY3 Label: 3rd mention cause of mental illness feelings
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2185
MNILDO1 Label: 1st mention what R did when felt mental illness
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2186
MNILDO2 Label: 2nd mention what R did when felt mental illness
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2187
MNILDO3 Label: 3rd mention what R did when felt mental illness
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
2188
MNILHLP1 Label: 1st mention what help R sought
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2189
MNILHLP2 Label: 2nd mention what help R sought
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2190
MNILHLP3 Label: 3rd mention what help R sought
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
2191
MNILTIME Label: When feelings of mental illness happened
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
9 NA
2192
MNILDUR Label: Duration, severity of feelings of mental illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
9 NA
2193
PRIVPRAY Label: How often pray privately
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 MRE THN ONCE/DAY
2 ONCE A DAY
3 A FEW TIMES/WEEK
4 ONCE A WEEK
5 FEW TIMES/MONTH
6 ONCE A MONTH
7 LESS ONCE/MNTH
8 NEVER
98 DK
99 NA
2194
MEDITATE Label: How often meditate
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 MRE THN ONCE/DAY
2 ONCE A DAY
3 A FEW TIMES/WEEK
4 ONCE A WEEK
5 FEW TIMES/MONTH
6 ONCE A MONTH
7 LESS ONCE/MNTH
8 NEVER
98 DK
99 NA
2195
CONGHLP1 Label: How much congregation help out with ill
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 SOME
3 A LITTLE
4 NONE
8 DONT KNOW
9 NA
2196
CONGHLP2 Label: How much congregation help out with prob
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 SOME
3 A LITTLE
4 NONE
8 DONT KNOW
9 NA
2197
CONGHRM1 Label: How often congregation make too much demand
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 VERY OFTEN
2 FAIRLY OFTEN
3 ONCE IN A WHILE
4 NEVER
8 DONT KNOW
9 NA
2198
CONGHRM2 Label: How often congregation critical of things R do
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 VERY OFTEN
2 FAIRLY OFTEN
3 ONCE IN A WHILE
4 NEVER
8 DONT KNOW
9 NA
2199
COPE1 Label: Think about life is part of larger force
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 QUITE A BIT
3 SOMEWHAT
4 NOT AT ALL
8 DONT KNOW
9 NA
2200
COPE2 Label: Work together with god as partner's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 QUITE A BIT
3 SOMEWHAT
4 NOT AT ALL
8 DONT KNOW
9 NA
2201
COPE3 Label: Look to god for strength & support
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 QUITE A BIT
3 SOMEWHAT
4 NOT AT ALL
8 DONT KNOW
9 NA
2202
COPE4 Label: Feel god is punishing for sin
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 QUITE A BIT
3 SOMEWHAT
4 NOT AT ALL
8 DONT KNOW
9 NA
2203
COPE5 Label: Wonder whether god has abandoned me
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 QUITE A BIT
3 SOMEWHAT
4 NOT AT ALL
8 DONT KNOW
9 NA
2204
COPE6 Label: Try to make sense without relying on god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 A GREAT DEAL
2 QUITE A BIT
3 SOMEWHAT
4 NOT AT ALL
8 DONT KNOW
9 NA
2205
GODWATCH Label: Believe in god who watch over me
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONG DISAGREE
8 DONT KNOW
9 NA
2206
LESSPAIN Label: Feel deep sense of resp for reducing pain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONG DISAGREE
8 DONT KNOW
9 NA
2207
RELLIFE Label: Try to carry beliefs into other dealings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONG DISAGREE
8 DONT KNOW
9 NA
2208
FORGIVE1 Label: Have forgiven self for mistakes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALWYS/ALMST ALWY
2 OFTEN
3 SELDOM
4 NEVER
8 DONT KNOW
9 NA
2209
FORGIVE2 Label: Have forgiven those who hurt me
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALWYS/ALMST ALWY
2 OFTEN
3 SELDOM
4 NEVER
8 DONT KNOW
9 NA
2210
FORGIVE3 Label: Know that god forgives me
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALWYS/ALMST ALWY
2 OFTEN
3 SELDOM
4 NEVER
8 DONT KNOW
9 NA
2211
FEELGOD Label: Feel gods presence
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 MANY TIMES A DAY
2 EVERY DAY
3 MOST DAYS
4 SOME DAYS
5 ONCE IN A WHILE
6 NEVER/ALMST NEVR
8 DONT KNOW
9 NA
2212
RELCMFRT Label: Find strength and comfort in religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 MANY TIMES A DAY
2 EVERY DAY
3 MOST DAYS
4 SOME DAYS
5 ONCE IN A WHILE
6 NEVER/ALMST NEVR
8 DONT KNOW
9 NA
2213
HARMONY Label: Feel deep inner peace or harmony
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 MANY TIMES A DAY
2 EVERY DAY
3 MOST DAYS
4 SOME DAYS
5 ONCE IN A WHILE
6 NEVER/ALMST NEVR
8 DONT KNOW
9 NA
2214
UNIONGOD Label: Desire to be closer to god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 MANY TIMES A DAY
2 EVERY DAY
3 MOST DAYS
4 SOME DAYS
5 ONCE IN A WHILE
6 NEVER/ALMST NEVR
8 DONT KNOW
9 NA
2215
GODLOVE Label: Feel gods love directly or thru others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 MANY TIMES A DAY
2 EVERY DAY
3 MOST DAYS
4 SOME DAYS
5 ONCE IN A WHILE
6 NEVER/ALMST NEVR
8 DONT KNOW
9 NA
2216
BEAUSPRT Label: Spiritually touched by beauty creation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 MANY TIMES A DAY
2 EVERY DAY
3 MOST DAYS
4 SOME DAYS
5 ONCE IN A WHILE
6 NEVER/ALMST NEVR
8 DONT KNOW
9 NA
2217
NOCHEER Label: In past 30 days feel sad
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 SOME OF THE TIME
4 LITTLE OF TIME
5 NONE OF THE TIME
8 DONT KNOW
9 NA
2218
NERVOUS Label: In past 30 days feel nervous
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 SOME OF THE TIME
4 LITTLE OF TIME
5 NONE OF THE TIME
8 DONT KNOW
9 NA
2219
FIDGETY Label: In past 30 days feel restless or fidgety
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 SOME OF THE TIME
4 LITTLE OF TIME
5 NONE OF THE TIME
8 DONT KNOW
9 NA
2220
HOPELESS Label: In past 30 days feel hopeless
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 SOME OF THE TIME
4 LITTLE OF TIME
5 NONE OF THE TIME
8 DONT KNOW
9 NA
2221
EFFORT Label: In past 30 days feel everything thing effort
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 SOME OF THE TIME
4 LITTLE OF TIME
5 NONE OF THE TIME
8 DONT KNOW
9 NA
2222
WRTHLESS Label: In past 30 days feel worthless
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 SOME OF THE TIME
4 LITTLE OF TIME
5 NONE OF THE TIME
8 DONT KNOW
9 NA
2223
LOTR1 Label: In uncertain times I usually expect best
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly disagree
2 Disagree
3 Neutral
4 Agree
5 Strongly agree
8 DK
9 NA
2224
LOTR2 Label: If something can go wrong for me it will
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly disagree
2 Disagree
3 Neutral
4 Agree
5 Strongly agree
8 DK
9 NA
2225
LOTR3 Label: I'm always optimistic about my future
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly disagree
2 Disagree
3 Neutral
4 Agree
5 Strongly agree
8 DK
9 NA
2226
LOTR4 Label: I hardly ever expect things to go my way
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly disagree
2 Disagree
3 Neutral
4 Agree
5 Strongly agree
8 DK
9 NA
2227
LOTR5 Label: I rarely count on good things happening to me
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly disagree
2 Disagree
3 Neutral
4 Agree
5 Strongly agree
8 DK
9 NA
2228
LOTR6 Label: I expect more good things to happen to me than bad
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly disagree
2 Disagree
3 Neutral
4 Agree
5 Strongly agree
8 DK
9 NA
2229
HOPE1 Label: I could get out of a jam
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Definitely false
2 Mostly false
3 Somewhat false
4 Slightly false
5 Slightly true
6 Somewhat true
7 Mostly true
8 Definitely true
98 DK
99 NA
2230
HOPE2 Label: I am energetically pursuing my goals
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Definitely false
2 Mostly false
3 Somewhat false
4 Slightly false
5 Slightly true
6 Somewhat true
7 Mostly true
8 Definitely true
98 DK
99 NA
2231
HOPE3 Label: There are many ways around problems i face
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Definitely false
2 Mostly false
3 Somewhat false
4 Slightly false
5 Slightly true
6 Somewhat true
7 Mostly true
8 Definitely true
98 DK
99 NA
2232
HOPE4 Label: I see myself as successful
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Definitely false
2 Mostly false
3 Somewhat false
4 Slightly false
5 Slightly true
6 Somewhat true
7 Mostly true
8 Definitely true
98 DK
99 NA
2233
HOPE5 Label: I can think of many ways to reach my current goals
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Definitely false
2 Mostly false
3 Somewhat false
4 Slightly false
5 Slightly true
6 Somewhat true
7 Mostly true
8 Definitely true
98 DK
99 NA
2234
HOPE6 Label: I am meeting my current goals
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Definitely false
2 Mostly false
3 Somewhat false
4 Slightly false
5 Slightly true
6 Somewhat true
7 Mostly true
8 Definitely true
98 DK
99 NA
2235
RELPERSN Label: R consider self a religious person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 VERY RELIGIOUS
2 MODRTE RELIGIOUS
3 SLIGHT RELIGIOUS
4 NOT RELIGIOUS
8 DONT KNOW
9 NA
2236
SPRTPRSN Label: R consider self a spiritual person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 VERY SPIRITUAL
2 MODEATE SPIRTUAL
3 SLIGHT SPIRITUAL
4 NOT SPIRITUAL
8 DONT KNOW
9 NA
2237
RELEXP Label: Have religious experience changed life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2238
NATARTS Label: Spending right amount on arts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 TOO LITTLE
2 ABOUT RIGHT
3 TOO MUCH
8 DONT KNOW
9 NA
2239
ARTGOD Label: Thru art and music we come closer to god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONG DISAGREE
8 DONT KNOW
9 NA
2240
ARTISTS Label: Excellent artists able support themselves
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONG DISAGREE
8 DONT KNOW
9 NA
2241
IRRELART Label: Should allow art to mock or demean religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ALLOWED
2 NOT ALLOWED
8 DONT KNOW
9 NA
2242
IRRELOFF Label: Offended art mocks or demeans religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 OFFENDED
2 NOT OFFENDED
8 DONT KNOW
9 NA
2243
AIMOFART Label: Aim of art
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 8
Value Label
0 IAP
1 ART HUMAN SPIRIT
2 ART XPRSS ARTIST
8 DONT KNOW
9 NA
2244
READFICT Label: Read novels poems or plays
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2245
POPMUSIC Label: Went to a live performance of popular music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2246
DRAMA Label: Went to a live drama
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2247
RELART Label: Had experience of art at place of worship
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2248
VOLARTS Label: Volunteered for organizations of arts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2249
NATLART Label: Feel fed gov should provide assistance to art
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2250
STATEART Label: Feel state gov should provide assistance to art
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2251
LOCALART Label: Feel local gov should provide assistance to art
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2252
PRFMNCE Label: Did R go to a performance in last 12 months
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2253
ARTEXBT Label: Did R go to an art exhibit in last 12 months
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2254
PRFMMUS Label: Was it a music performance
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2255
PRFMDAN Label: Was it a dance performance
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2256
PRFMTHE Label: Was it a theater performance
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2257
PRFMATT Label: Did R attend alone or with others
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Alone
2 With one other person
3 With two or more other people
8 DK
9 NA
2258
PRFMATT1 Label: Attended with spouse or partner
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2259
PRFMATT2 Label: Attended with child
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2260
PRFMATT3 Label: Attended with friend
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2261
PRFMATT4 Label: Attended with relative
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2262
PRFMATT5 Label: Attended with other
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2263
PRFMFREE Label: Was performance attended free
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Free
2 Admission fee
8 DK
9 NA
2264
PRFMWHY1 Label: Imp of low cost in decision to attend performance
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2265
PRFMWHY2 Label: Imp of wanting to experience high quality art in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2266
PRFMWHY3 Label: Imp of wanting to socialize with friends or fam in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2267
PRFMWHY4 Label: Imp of wanting to celebrate cultural heritage in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2268
PRFMWHY5 Label: Imp of wanting to support community in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2269
PRFMWHY6 Label: Imp of wanting to learn in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2270
PRFMWHY7 Label: Imp of location in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2271
PRFMWHY8 Label: Imp of specific individ performer in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2272
PRFMWHY9 Label: Was there another major reason in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2273
PRFMWHY0 Label: Other major reason in decision to attend perf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Gift, Free
2 School related
3 Wanted to see specific show/exhibit
4 Variety, something different, new experience
5 Win meal, drinks
6 Entertainment, enjoyment, have fun
7 Religious
8 For children, educational
10 Support Family/Friend
11 Celebrate birthday, anniversary
12 Night Out, Date
13 Meet, Support Artist
14 Work Related
20 Misc other reasons
98 DK
99 NA
2274
ARTATT Label: Attended exhibit alone or with others
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Alone
2 With one other person
3 With two or more other people
8 DK
9 NA
2275
ARTATT1 Label: Attended with spouse or partner
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2276
ARTATT2 Label: Attended with child
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2277
ARTATT3 Label: Attended with friend
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2278
ARTATT4 Label: Attended with relative
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2279
ARTATT5 Label: Attended with other
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2280
ARTFREE Label: Was exhibit attended free
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Free
2 Admission fee
8 DK
9 NA
2281
ARTWHY1 Label: Imp of low cost in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2282
ARTWHY2 Label: Imp of wanting to experience high quality art in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2283
ARTWHY3 Label: Imp of wanting to socialize with friends or fam in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2284
ARTWHY4 Label: Imp of wanting to celebrate cultural heritage in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2285
ARTWHY5 Label: Imp of wanting to support community in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2286
ARTWHY6 Label: Imp of wanting to learn in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2287
ARTWHY7 Label: Imp of location in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Major reason
2 Minor reason
3 Not a reason
8 DK
9 NA
2288
ARTWHY8 Label: Was there another major reason in decision to attend exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2289
ARTWHY9 Label: Other major reason in decision to attend
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Gift, Free
2 School related
3 Wanted to see specific show/exhibit
4 Variety, something different, new experience
5 Win meal, drinks
6 Entertainment, enjoyment, have fun
7 Religious
8 For children, educational
10 Support Family/Friend
11 Celebrate birthday, anniversary
12 Night Out, Date
13 Meet, Support Artist
14 Work Related
20 Misc other reasons
98 DK
99 NA
2290
NOGO Label: Perf or exhibit R wanted to go to in past 12 months but did not
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2291
NOGO1 Label: Performance or exhibit
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Performance
2 Exhibit
3 Both performance and exhibit
8 DK
9 NA
2292
PRFMCOST Label: Did not go due to cost
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2293
PRFMINT Label: Did not go since not of interest
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2294
PRFMTRVL Label: Did not go because too dificult to get there
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2295
PRFMGST Label: Did not go because couldn't find anyone to go with
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2296
PRFMTIME Label: Did not go due to lack of time
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2297
PRFMLOC Label: Did not want to go to that location
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2298
PRFMOTHR Label: Other reason why did not go
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2299
PRFMOTHR1 Label: Other reason why did not go
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Cost too much
2 Programs or events were not of interest
3 Too difficult to get there
4 Could not find anyone to go with
5 Could not find the time
6 Did not want to go to that location
7 Work conflict
8 Ill, too tired
10 No childcare
11 Sold out
12 Forgot, didn't act in time
13 Away, other conflict
14 Taking care of family member
20 Some other reason not shown
98 DK
99 NA
2300
ARTCOST Label: Did not go due to cost
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2301
ARTINT Label: Did not go since not of interest
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2302
ARTTRVL Label: Did not go because too dificult to get there
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2303
ARTGST Label: Did not go because couldn't find anyone to go with
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2304
ARTTIME Label: Did not go due to lack of time
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2305
ARTLOC Label: Did not want to go to that location
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2306
ARTOTHR Label: Other reason why did not go
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A reason
2 Not a reason
8 DK
9 NA
2307
PRFMMOSTOTH Label: Most imp factor in not attending performance
Format: F8.0
Measure: Nominal
Display Width: 13
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Cost too much
2 Programs or events were not of interest
3 Too difficult to get there
4 Could not find anyone to go with
5 Could not find the time
6 Did not want to go to that location
7 Work conflict
8 Ill, too tired
10 No childcare
11 Sold out
12 Forgot, didn't act in time
13 Away, other conflict
14 Taking care of family member
20 Some other reason not shown
98 DK
99 NA
2308
ARTMOSTOTH Label: Most imp factor in not attending art exhibit
Format: F8.0
Measure: Nominal
Display Width: 12
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Cost too much
2 Programs or events were not of interest
3 Too difficult to get there
4 Could not find anyone to go with
5 Could not find the time
6 Did not want to go to that location
7 Work conflict
8 Ill, too tired
10 No childcare
11 Sold out
12 Forgot, didn't act in time
13 Away, other conflict
14 Taking care of family member
20 Some other reason not shown
98 DK
99 NA
2309
OCCYRS Label: How many years in your occupation
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2310
OCCTRAIN Label: Gone thru specialized training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2311
TRAINSCH Label: How many years spent on training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LESS THAN ONE YEAR
2 TWO YEARS OR LESS
3 FOUR YEARS OR LESS
4 SIX YEARS OR LESS
5 EIGHT YEARS OR LESS
6 OVER EIGHT YEARS
8 DONT KNOW
9 NA
2312
TYPEORG Label: Work in independent or part of larger org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LARGER ORGANIZTN
2 CMPLTE INDPNDENT
8 NOT SURE
9 NA
2313
WRKOTH Label: Ever worked full time at other parts of org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2314
OTHYRS Label: Years worked full time at other parts of org
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NA
2315
PARTORG Label: In what ways part of the larger org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BRANCH/SUBSDIARY
2 ORG HEADQUARTERS
3 GOVERNMNT AGENCY
4 PUBLIC SCH SYS
5 SOMETHING ELSE
8 NOT SURE
9 NA
2316
ORGSIZE Label: How many people employed in the entire org
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 1-9
2 10-49
3 50-99
4 100-499
5 500-999
6 1 000-1 999
7 2 000-9 999
8 10 000 OR MORE
98 NOT SURE
99 NA
2317
GENDERWK Label: Mostly men or women at the workplace
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL WOMEN
2 ALMOST ALL WOMEN
3 MOSTLY WOMEN
4 HALF MEN/WOMEN
5 MOSTLY MEN
6 ALMOST ALL MEN
7 ALL MEN
8 NOT SURE
9 NA
2318
LOCYRS Label: How long have worked at this location
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1.00 IAP
98.00 DONT KNOW
99.00 NA
2319
SAMEWORK Label: Worked at other site with similar product
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2320
SITEYRS Label: How long have worked for those sites
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NA
2321
OTJTRAIN Label: Received any on-the-job training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO/PRCTICLY NONE
8 DONT KNOW
9 NA
2322
FORMLTRN Label: Did it include formal training course
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2323
FORMLFIN Label: Have you finished all the courses
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 NEVER ENDS
8 DONT KNOW
9 NA
2324
FORMLDYS Label: The number of days in formal training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A MONTH OR LESS
2 1-3 MONTHS
3 3-6 MONTHS
4 6 MONTHS-1 YR
5 OVER A YEAR
8 DONT KNOW
9 NA
2325
FORMLHRS Label: The number of hrs in formal training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 35 HOURS OR LESS
2 35 HOURS-70 HRS
3 OVER 70 HOURS
8 DONT KNOW
9 NA
2326
DOINGTRN Label: Include informal learning by doing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2327
DOINGFIN Label: Have completed this on-the-job training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NOT YET/EVENTUAL
3 NEVER ENDS
8 DONT KNOW
9 NA
2328
DOINGDYS Label: How long spent on learning by doing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A MONTH OR LESS
2 MONTH TO THREE
3 3 MONTHS TO 6
4 6 MONTHS TO YEAR
5 OVER A YEAR
8 DONT KNOW
9 NA
2329
WOJOB Label: Since 1st job ever been without a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2330
WOJOBYRS Label: How many years without a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LESS ONE YEAR
2 ONE TO 3 YEARS
3 3 TO 5 YEARS
4 FIVE - TEN YEARS
5 TEN YEARS/OVER
8 DONT KNOW
9 NA
2331
NUMEMP Label: For how many employers ever worked full time
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE
2 TWO
3 THREE TO FIVE
4 SIX TO TEN
5 MORE THAN TEN
8 DONT KNOW
9 NA
2332
HOWPAID Label: How get paid last week
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HOURLY WAGE
2 DAILY WAGE
3 WEEKLY WAGE
4 MONTHLY SALARY
5 ANNUAL SALARY
6 OTHER PAY RATE
8 DONT KNOW
9 NA
2333
HOURLY Label: What is your hoURLy wage before tax
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DONT KNOW
999 NA
2334
DAILY Label: What is your daily wage before tax
Format: F4.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DONT KNOW
9999 NA
2335
WEEKLY Label: What is your weekly wage before tax
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DONT KNOW
9999 NA
2336
MONTHLY Label: What is your monthly wage before tax
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99998; 99999
Value Label
0 IAP
99998 DONT KNOW
99999 NA
2337
YEARLY Label: What is your yearly wage before tax
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999998; 999999
Value Label
0 IAP
999998 DONT KNOW
999999 NA
2338
TRUSTING Label: Most people can be trusted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUSTING
2 SOMEWHT TRUSTING
3 SOMWHT DSTRUSTNG
4 VERY DISTRUSTING
8 DONT KNOW
9 NA
2339
SEENMNTL Label: You or anyone you know seen a psychiatrist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2340
PSYCMED1 Label: Psychiatric medicine is harmful to the body
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2341
PSYCMED2 Label: People should stop taking if symptoms gone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2342
PSYCMED3 Label: Taking these medicine interferes w daily act
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2343
PSYCMED4 Label: Helps people deal w day to day stresses
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2344
PSYCMED5 Label: Makes things easier in relations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2345
PSYCMED6 Label: These medications help control symptoms
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2346
PSYCMED7 Label: Helps people feel better about themselves
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2347
USEPSYC1 Label: Will take medicine because personal trouble
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2348
USEPSYC2 Label: Will take medicine because cant cope w stress
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2349
USEPSYC3 Label: Will take medicine because feeling depressed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2350
USEPSYC4 Label: Will take medicine because intense fear
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2351
PSYCKID1 Label: Will give kid med because kid is hostile
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2352
PSYCKID2 Label: Will give kid med because school trouble
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2353
PSYCKID3 Label: Will give kid med because kid talked suicide
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2354
PSYCDRCT Label: Prefer go directly to a mental health spec
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2355
PSYCFDOC Label: Would trust family physician prescription
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2356
PSYCPSYC Label: Only trust psychiatrist prescription
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DONT KNOW
9 NA
2357
HLTHINSR Label: Have health insurance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES COVERED
2 NO NOT COVERED
8 DONT KNOW
9 NA
2358
DOCLIST Label: Use a directory list for health care plan
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 KNOW KNOW
9 NA
2359
ANYDOC Label: Can choose any doctor i like
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2360
SWITHLTH Label: Ever switched plan medical care provider
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 CANT SWITCH
8 DONT KNOW
9 NA
2361
USEDMNTL Label: Have sought care with mental health since plan
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 KNOW KNOW
9 NA
2362
MNTLCARE Label: Were able to get mental health care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 KNOW KNOW
9 NA
2363
MNTLDIF Label: How difficult to get mental health care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DIFFICULT
2 SOMEWHAT DIFFCLT
3 NOT DIFFICULT
8 KNOW KNOW
9 NA
2364
MNTLDENY Label: Ever denied services under plans package
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
2365
HMO1 Label: HMO improves the quality of care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG DISAGREE
2 DISAGREE
3 NOT AGREE/DSAGRE
4 AGREE
5 STRONGLY AGREE
8 DONT KNOW
9 NA
2366
HMO2 Label: HMO prevent doctors from prescribing tests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG DISAGREE
2 DISAGREE
3 NOT AGREE/DSAGRE
4 AGREE
5 STRONGLY AGREE
8 DONT KNOW
9 NA
2367
HMO3 Label: HMO help to control costs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG DISAGREE
2 DISAGREE
3 NOT AGREE/DSAGRE
4 AGREE
5 STRONGLY AGREE
8 DONT KNOW
9 NA
2368
HMO4 Label: HMO prevent people from getting needed care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG DISAGREE
2 DISAGREE
3 NOT AGREE/DSAGRE
4 AGREE
5 STRONGLY AGREE
8 DONT KNOW
9 NA
2369
HMO5 Label: HMO damage trust btwn doctors and patients
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG DISAGREE
2 DISAGREE
3 NOT AGREE/DSAGRE
4 AGREE
5 STRONGLY AGREE
8 DONT KNOW
9 NA
2370
HMO6 Label: HMO take medical decisions from physicians
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG DISAGREE
2 DISAGREE
3 NOT AGREE/DSAGRE
4 AGREE
5 STRONGLY AGREE
8 DONT KNOW
9 NA
2371
HMO7 Label: HMO make emotional mental prblm more difficult
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONG DISAGREE
2 DISAGREE
3 NOT AGREE/DSAGRE
4 AGREE
5 STRONGLY AGREE
8 DONT KNOW
9 NA
2372
DOC1 Label: Doctors aren't as thorough as should be
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2373
DOC2 Label: Doctors do best to prevent worrying
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2374
DOC3 Label: Doctors sometimes take unnecessary risks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2375
DOC4 Label: Doctors are careful to check everything
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2376
DOC5 Label: Doctors treat patients with respect
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2377
DOC6 Label: I hardly see the same doctors each time
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2378
DOC7 Label: Doctors avoid unnecessary patient expenses
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2379
DOC8 Label: Doctors cause worry because don't explain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2380
DOC9 Label: Doctors ignore old problems care new ones
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2381
DOC10 Label: Doctors recommend surgery if no other way
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2382
DOC11 Label: Doctors willing to refer me a specialist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2383
DOC12 Label: Doctors unable to tell me all the options
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2384
DOC13 Label: Doctors deny me the treatment needed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2385
DOC14 Label: Doctors put cost consideration above care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2386
DOC15 Label: Doctor not really care me as a person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2387
DOC16 Label: Doctors judgment trusted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2388
DOC17 Label: Doctor does not do everything should for me
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 UNCERTAIN
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2389
DOC18 Label: Doctor put medical needs above all other
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2390
DOC19 Label: Doctor a real expert in taking care problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2391
DOC20 Label: Doctor tell me if a mistake was made
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2392
PROZAC Label: Have you ever heard of prozac
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 NOT SURE
9 NA
2393
USEDPROZ Label: Have you ever taken prozac
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 NOT SURE
9 NA
2394
KNWNPROZ Label: Have you known anyone who took prozac
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 NOT SURE
9 NA
2395
PROZFOR1 Label: What can you tell me about prozac is used for
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NA
2396
PROZFOR2 Label: What can you tell me about prozac is used for
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NA
2397
PROZFOR3 Label: What can you tell me about prozac is used for
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NA
2398
PROZ1 Label: Prozac is harmful to the body
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2399
PROZ2 Label: If no symptoms should dISCOntinue prozac
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2400
PROZ3 Label: Taking prozac interferes with daily activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2401
PROZ4 Label: Taking prozac helps people deal with stress
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2402
PROZ5 Label: Taking prozac makes relations easier
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2403
PROZ6 Label: Prozac helps people control their symptoms
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2404
PROZ7 Label: Prozac makes people feel better about themselves
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2405
PROZ8 Label: Prozac should be taken to enhance personalities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2406
PROZ9 Label: Prozac is for those diagnosed with depression
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
2407
PROZSLF1 Label: Take prozac if trouble in personal life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DK
9 NA
2408
PROZSLF2 Label: Take prozac if cant cope with stresses
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DK
9 NA
2409
PROZSLF3 Label: Take prozac if feel depressed sleepless
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DK
9 NA
2410
PROZSLF4 Label: Take prozac if intense fear losing control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DK
9 NA
2411
PROZKID1 Label: Give kid prozac if is hostile
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DK
9 NA
2412
PROZKID2 Label: Give kid prozac if is not paying attention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DK
9 NA
2413
PROZKID3 Label: Give kid prozac if is talking about suicide
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 MIXED
4 SOMEWHT UNLIKELY
5 VERY UNLIKELY
8 DK
9 NA
2414
SOCSECRT Label: Social security will be better
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 SOMEWHAT BETTER
3 ABOUT THE SAME
4 SOMEWHAT WORSE
5 MUCH WORSE
8 DK
9 NA
2415
SOCSECFX Label: How serious is social securities problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO PROBLEMS
2 MINOR PROBS
3 SERIOUS PROB
4 BE REPLACED
8 DK
9 NA
2416
SOCSECNU Label: Social security phase out or continue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PHASE OUT SOCIAL SECURITY+
2 CONTINUE AS IS
8 DK
9 NA
2417
TERMINAL Label: Have you or close friends relative faced with terminal illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES MYSELF
2 YES FRIEND
3 YES IMMED RELTVE
4 YES OTHR RELATVE
5 NO
6 SELF AND ONE
7 TWO OR MORE
8 DK
9 NA
2418
TERMECON Label: Worry about economic burden of terminal illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2419
TERMREL Label: My religious community very helpful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2420
TERMEMOT Label: Worry about emotional burden on my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2421
TERMPAIN Label: Believe doctors can control my pain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2422
TERMPAY Label: Worry if no money get second class care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2423
TRUSTFAM Label: Would trust my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETELY
2 A GREAT DEAL
3 SOMEWHAT
4 ONLY A LITTLE
5 NOT AT ALL
8 DONT KNOW
9 NA
2424
TRUSTDOC Label: Would trust my doctor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETELY
2 A GREAT DEAL
3 SOMEWHAT
4 ONLY A LITTLE
5 NOT AT ALL
8 DONT KNOW
9 NA
2425
TRUSTCRT Label: Would trust the courts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETELY
2 A GREAT DEAL
3 SOMEWHAT
4 ONLY A LITTLE
5 NOT AT ALL
8 DONT KNOW
9 NA
2426
TERMVIG Label: One of the vignettes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VIGNETTE A
2 VIGNETTE B
3 VIGNETTE C
4 VIGNETTE D
5 VIGNETTE E
6 VIGNETTE F
8 DONT KNOW
9 NA
2427
RIGHTREF Label: Have a right to refuse further treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2428
NOTREAT Label: Refuse treatment except pain relief
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2429
INSTRCTN Label: Prepare written instructions explaining future car
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2430
HOSPICE Label: Choose hospice until patient dies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2431
PAINMED Label: Ask doctors to increase pain medication
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DONT KNOW
9 NA
2432
DOCSUI Label: Ask for physician-assisted suicide
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
2433
FAMWHTS Label: Whites committed to strong families
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO STRONG FAMILIES
7 LACKS COMMITMENT TO STRONG FAMILIES
8 DK
9 NA
2434
FAMBLKS Label: Blacks committed to strong families
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO STRONG FAMILIES
7 LACKS COMMITMENT TO STRONG FAMILIES
8 DK
9 NA
2435
FAMJewS Label: Jews committed to strong families
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO STRONG FAMILIES
7 LACKS COMMITMENT TO STRONG FAMILIES
8 DK
9 NA
2436
FAMHSPS Label: Hispanics committed to strong families
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO STRONG FAMILIES
7 LACKS COMMITMENT TO STRONG FAMILIES
8 DK
9 NA
2437
FAMASNS Label: Asians committed to strong families
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO STRONG FAMILIES
7 LACKS COMMITMENT TO STRONG FAMILIES
8 DK
9 NA
2438
FAIRWHTS Label: Whites committed to fair and equal treatment of
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO FAIR AND EQUAL TREATMENT
7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT
8 DK
9 NA
2439
FAIRBLKS Label: Blacks committed to fair and equal treatment of
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO FAIR AND EQUAL TREATMENT
7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT
8 DK
9 NA
2440
FAIRJewS Label: Jews committed to fair and equal treatment of a
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO FAIR AND EQUAL TREATMENT
7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT
8 DK
9 NA
2441
FAIRHSPS Label: Hispanics committed to fair and equal treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO FAIR AND EQUAL TREATMENT
7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT
8 DK
9 NA
2442
FAIRASNS Label: Asians committed to fair and equal treatment o
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMMITMENT TO FAIR AND EQUAL TREATMENT
7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT
8 DK
9 NA
2443
CONTENG Label: Have English positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2444
CONTITL Label: Have italians positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2445
CONTCHN Label: Have chinese positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2446
CONTJew Label: Have Jews positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2447
CONTBLK Label: Have blacks positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2448
CONTMEX Label: Have mexicans positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2449
CONTVN Label: Have vietnamese positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2450
CONTCUBA Label: Have cubans positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2451
CONTIRSH Label: Have irish positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2452
CONTPR Label: Have puerto ricans positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2453
CONTJPN Label: Have japanese positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2454
CONTMSLM Label: Have muslims positive contribution to country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MOST IMPORTANT CONTRIBUTION
2 IMPORTANT CONTRIBUTION
3 SOME CONTRIBUTION
4 LITTLE POSITIVE CONTRIBUTION
8 DK
9 NA
2455
OTHLANG Label: Can R speak language other than English/Spanish
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2456
OTHLANG1 Label: What other languages Does R speak
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDI
43 HAKKA
44 SWEDISH
45 VESAYA
46 SIGN LANGUAGE
47 TONGAN
48 ARMENIAN
49 IBO
50 DUTCH
51 CHEROKEE
52 SAMOAN
53 YORUBA
54 GREEK
55 LAKOTA
56 AFRICAN
57 ANISHNABEE
58 ILOKAND
59 ASSYRIAN
60 DANISH
61 LAOTIAN
62 FINNISH
63 MOHAWK
64 AMHARIC
65 BENGALI
66 ORIYA
67 HAWAIIAN
68 Albanian
69 HMONG
70 INDONESIAN
71 SWAHILI
72 TELUGU
73 KANNADA
74 BULGARIAN
75 GUARANI
76 BOSNIAN
77 PUNJABI
78 LATVIAN
79 BASQUE
80 BICOL
81 CROATIAN
82 TIGAN GYPSY
83 SLOVENIAN
84 BELGIAN
85 MANDINGO
86 JAMAICAN
87 SOMALI
88 NATIVE AMERIAN
89 TAGRINGA
90 KRIO
91 INDIAN
92 CEBUANO
93 Macedonian
94 PATOIS
95 PANGASINAN
96 Ilocano
97 MARATHI
98 KASHMIRI/CASHMIRI
99 TAMIL
100 Akan
101 Ethiopian
102 Georgian
103 Yugoslavian
104 Irish
105 Catalan
106 Mixtec
107 Garifuna
108 Fang
109 Apache
110 Bassa
111 Efik
112 Twi
113 Maltese
114 Zuni
115 Ga
116 Mina
117 Surinamese
118 Yaqui
119 Quichoa
120 Tok Pisin
121 Pima
122 Lingala
123 Otomi
124 Chindali
125 Tibetan
126 Oromo
127 Nepali
128 Eskimo
129 Mam
130 Choctaw
131 Ashanti
132 Burmese
133 Hewa
134 Sango
135 Chitumbuka
136 Maratsi
137 Yemba
138 Kiche
139 Fante
140 Sinhalase
141 Icelandic
142 Maricopa
143 Quechan
144 Pohnpeian
145 Luganda
146 Shona
147 Urhobo
148 Colville Tribe
149 Chickasau
150 Dakota
151 Hokkien
152 Wolof
153 Ewe
154 Igbo
155 Luhya
156 Black Feet
998 DK
999 NA
2457
OTHLANG2 Label: What other languages Does R speak
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDI
43 HAKKA
44 SWEDISH
45 VESAYA
46 SIGN LANGUAGE
47 TONGAN
48 ARMENIAN
49 IBO
50 DUTCH
51 CHEROKEE
52 SAMOAN
53 YORUBA
54 GREEK
55 LAKOTA
56 AFRICAN
57 ANISHNABEE
58 ILOKAND
59 ASSYRIAN
60 DANISH
61 LAOTIAN
62 FINNISH
63 MOHAWK
64 AMHARIC
65 BENGALI
66 ORIYA
67 HAWAIIAN
68 Albanian
69 HMONG
70 INDONESIAN
71 SWAHILI
72 TELUGU
73 KANNADA
74 BULGARIAN
75 GUARANI
76 BOSNIAN
77 PUNJABI
78 LATVIAN
79 BASQUE
80 BICOL
81 CROATIAN
82 TIGAN GYPSY
83 SLOVENIAN
84 BELGIAN
85 MANDINGO
86 JAMAICAN
87 SOMALI
88 NATIVE AMERIAN
89 TAGRINGA
90 KRIO
91 INDIAN
92 CEBUANO
93 Macedonian
94 PATOIS
95 PANGASINAN
96 Ilocano
97 MARATHI
98 KASHMIRI/CASHMIRI
99 TAMIL
100 Akan
101 Ethiopian
102 Georgian
103 Yugoslavian
104 Irish
105 Catalan
106 Mixtec
107 Garifuna
108 Fang
109 Apache
110 Bassa
111 Efik
112 Twi
113 Maltese
114 Zuni
115 Ga
116 Mina
117 Surinamese
118 Yaqui
119 Quichoa
120 Tok Pisin
121 Pima
122 Lingala
123 Otomi
124 Chindali
125 Tibetan
126 Oromo
127 Nepali
128 Eskimo
129 Mam
130 Choctaw
131 Ashanti
132 Burmese
133 Hewa
134 Sango
135 Chitumbuka
136 Maratsi
137 Yemba
138 Kiche
139 Fante
140 Sinhalase
141 Icelandic
142 Maricopa
143 Quechan
144 Pohnpeian
145 Luganda
146 Shona
147 Urhobo
148 Colville Tribe
149 Chickasau
150 Dakota
151 Hokkien
152 Wolof
153 Ewe
154 Igbo
155 Luhya
156 Black Feet
998 DK
999 NA
2458
OTHBEST Label: What language other than English Does R speak b
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDU
43 HAKKA
44 SWEDISH
45 VESAYA
46 SIGN LANGUAGE
47 TONGAN
48 ARMENIAN
49 IBO
50 DUTCH
51 CHEROKEE
52 SAMOAN
53 YORUBA
54 GREEK
55 LAKOTA
56 AFRICAN
57 ANISHNABEE
58 ILOKAND
59 ASSYRIAN
60 DANISH
61 LAOTIAN
62 FINNISH
63 MOHAWK
64 AMHARIC
65 BANGLADESH
66 ORIYA
67 HAWAIIAN
69 HMONG
70 INDONESIAN
71 SWAHILI
72 TELUGU
73 KANNADA
74 BULGARIAN
75 GUARANI
76 BOSNIAN
77 PUNJABI
78 LATAVAIN
79 BASQUE
80 BICOL
81 CROATIAN
82 TIGAN GYPSY
83 SLOVENIAN
84 BELGIAN
85 MANDINGO
86 JAMACA
87 SOMALI
88 NATIVE AMERIAN
89 TAGRINGA
90 KRIO
91 INDIAN
92 CEBUANO
93 Macedonian
94 PATOIS
95 PANGASINAN
96 Ilocano
97 MARATHI
98 KASHMIRI/CASHMIRI
99 TAMIL
998 DK
999 NA
2459
SPKLANG Label: How well Does R speak other language
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WELL
2 WELL
3 NOT WELL
4 POORLY/HARDLY AT ALL
8 DK
9 NA
2460
USELANG Label: How often Does R use language other than English
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN ONCE A WEEK
3 ONCE A WEEK
4 SEVERAL TIMES A WEEK
5 ONCE A DAY
6 SEVERAL TIMES A DAY
8 DK
9 NA
2461
GETLANG Label: Where did R learn other language
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CHILDHOOD HOME
2 SCHOOL
3 ELSEWHERE
8 DK
9 NA
2462
PARLANG Label: R's parents speak other language at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2463
GRANLANG Label: R's grandparents speak other language at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2464
LANGCOM Label: How often are other languages heard in community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN ONCE A WEEK
3 ONCE A WEEK
4 SEVERAL TIMES A WEEK
5 ONCE A DAY
6 SEVERAL TIMES A DAY
8 DK
9 NA
2465
LANGWRK Label: How often are other languages heard at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 ONCE A DAY
3 SEVERAL TIMES A DAY
4 LESS THAN ONCE A WEEK
5 ONCE A WEEK
6 SEVERAL TIMES A WEEK
8 DK
9 NA
2466
ENGOFF1 Label: English official language of U.S.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR
2 OPPOSE
8 DK
9 NA
2467
TWOLANG Label: Children should learn other language in high sc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
2468
NOBILING Label: Bilingual education should be abolished
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
2469
ENGUNITE Label: English unites all Americans
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
2470
FORLANG1 Label: Learning foreign language important math and s
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
2471
ENGTHRTN Label: English threatened by languages spoken by immig
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
2472
ENGVOTE Label: Ballots should offered other languages than eng
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
2473
OTHHOME Label: R speaks other language at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
2474
BETRLANG Label: Which language R speaks more fluent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LANGUAGE 1
2 LANGUAGE 2
8 DONT KNOW
9 NO ANSWER
2475
SPKLANGW Label: How well R speaks the language in betrlang
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
2 Well
3 Not well
4 Poor or hardly at all
8 DONT KNOW
9 NO ANSWER
2476
LETINHSP Label: Immigration from Latin America should be increased
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASED A LOT
2 INCREASED A LITTLE
3 LEFT THE SAME AS IT IS NOW
4 DECREASED A LITTLE
5 DECREASED A LOT
8 DK
9 NA
2477
LETINASN Label: Immigration from Asia should be increased
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASED A LOT
2 INCREASED A LITTLE
3 LEFT THE SAME AS IT IS NOW
4 DECREASED A LITTLE
5 DECREASED A LOT
8 DK
9 NA
2478
LETINEUR Label: Immigration from Europe should be increased
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASED A LOT
2 INCREASED A LITTLE
3 LEFT THE SAME AS IT IS NOW
4 DECREASED A LITTLE
5 DECREASED A LOT
8 DK
9 NA
2479
IMMCRMUP Label: More immigrants cause higher crime rates
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
2480
IMMNEW Label: More immigrants open country new ideas and cult
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
2481
IMMNOJOB Label: Immigrants cause American to lose jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT TOO LIKELY
4 NOT LIKELY AT ALL
8 DK
9 NA
2482
USWHT Label: What percentage of population is white
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2483
USBLK Label: What percentage of population is black
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2484
USJewS Label: What percentage of population is Jewish
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2485
USHISP Label: What percentage of population is Hispanic
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2486
USASN Label: What percentage of population is Asian
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2487
USAMIND Label: What percentage of population is American India
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2488
USMIXED Label: What percentage of population is of mixed heritage
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2489
WHTCHNG Label: Percentage change population of whites in 25 yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASE A LOT
2 INCREASE BY A LITTLE
3 STAY THE SAME
4 DECREASE BY A LITTLE
5 DECREASE BY A LOT
8 DK
9 NA
2490
BLKCHNG Label: Percentage change population of blacks in 25 yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASE A LOT
2 INCREASE BY A LITTLE
3 STAY THE SAME
4 DECREASE BY A LITTLE
5 DECREASE BY A LOT
8 DK
9 NA
2491
JewSCHNG Label: Percentage change population of Jews in 25 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASE A LOT
2 INCREASE BY A LITTLE
3 STAY THE SAME
4 DECREASE BY A LITTLE
5 DECREASE BY A LOT
8 DK
9 NA
2492
HISPCHNG Label: Percentage change population of Hispanics in 25
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASE A LOT
2 INCREASE BY A LITTLE
3 STAY THE SAME
4 DECREASE BY A LITTLE
5 DECREASE BY A LOT
8 DK
9 NA
2493
ASNCHNG Label: Percentage change population of Asians in 25 yr
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASE A LOT
2 INCREASE BY A LITTLE
3 STAY THE SAME
4 DECREASE BY A LITTLE
5 DECREASE BY A LOT
8 DK
9 NA
2494
ETHCHNG Label: Ethnic change in 25 yrs good for country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GOOD THING
2 GOOD THING
3 NEITHER GOOD NOR BAD
4 BAD THING
5 VERY BAD THING
8 DK
9 NA
2495
COMWHT Label: Percentage white living in R's community
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2496
COMBLK Label: Percentage black living in R's community
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2497
COMJewS Label: Percentage Jews living in R's community
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2498
COMHISP Label: Percentage Hispanic living in R's community
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2499
COMASN Label: Percentage Asian living in R's community
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2500
COMAMIND Label: Percentage American Indian living in R's community
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2501
HISPWORK Label: How many people Hispanic at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL HISPANIC
2 ALMOST ALL HISPANIC
3 MOST HISPANIC
4 ABOUT HALF HISPANIC
5 MOST NOT HISPANIC
6 ALMOST NON HISPANIC
7 NONE HISPANIC
8 DK
9 NA
2502
KNWWHT Label: Does R Personally any whites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2503
KNWBLK Label: Does R Personally any blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2504
KNWJew Label: Does R Personally any Jews
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2505
KNWHISP Label: Does R Personally any Hispanics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2506
KNWASN Label: Does R Personally any Asians
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2507
WHTSCHL Label: Does R know whites from school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2508
WHTCOM Label: Does R know whites from community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2509
WHTREL Label: Does R know whites as relative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2510
WHTWRK Label: Does R know whites from work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2511
WHTCLS Label: Does R feel close to whites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2512
BLKSCHL Label: Does R know blacks from school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2513
BLKCOM Label: Does R know blacks from community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2514
BLKREL Label: Does R know blacks as relative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2515
BLKWRK Label: Does R know blacks from work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2516
BLKCLS Label: Does R feel close to blacks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2517
JewSSCHL Label: Does R know Jews from school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2518
JewSCOM Label: Does R know Jews from community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2519
JewSREL Label: Does R know Jews as relative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2520
JewSWRK Label: Does R know Jews from work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2521
JewSCLS Label: Does R feel close to Jews
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2522
HISPSCHL Label: Does R know Hispanics from school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2523
HISPCOM Label: Does R know Hispanics from community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2524
HISPREL Label: Does R know Hispanics as relative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2525
HISPWRK Label: Does R know Hispanics from work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2526
HISPCLS Label: Does R feel close to Hispanics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2527
ASNSCHL Label: Does R know Asians from school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2528
ASNCOM Label: Does R know Asians from community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2529
ASNREL Label: Does R know Asians as relative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2530
ASNWRK Label: Does R know Asians from work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2531
ASNCLS Label: Does R feel close to Asians
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2532
MOSTCOM Label: Have most in common with which group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WHITES
2 BLACKS/AFRICAN-AMERICANS
3 JEWS
4 HISPANICS
5 ASIANS
6 EQUAL IN COMMON TO ALL
7 NOTHING IN COMMON WITH ANY
8 DK
9 NA
2533
LEASTCOM Label: Have least in common with which group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WHITES
2 BLACKS/AFRICAN-AMERICANS
3 JEWS
4 HISPANICS
5 ASIANS
6 EQUAL IN COMMON TO ALL
7 NOTHING IN COMMON WITH ANY
8 DK
9 NA
2534
NEIETH1 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2535
NEIETH2 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2536
NEIETH3 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2537
NEIETH4 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2538
NEIETH5 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2539
NEIETH6 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2540
NEIETH7 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2541
NEIETH8 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2542
NEIETH9 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2543
NEIETH10 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2544
NEIETH11 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2545
NEIETH12 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2546
NEIETH13 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2547
NEIETH14 Label: Preferred ethnic neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ASIAN
2 BLACK
3 HISPANIC
4 WHITE
5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT
6 RURAL-WANTS NO NEIGHBORS
7 MIXED RACE, 2 OR MORE RACES IN 1 HH
8 DK
9 NA
2548
HSWHT Label: High school mostly white
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL WHITE
2 MOSTLY WHITE
3 ABOUT HALF WHITE AND HALF OTHER RACES
4 MOSTLY OTHER RACES
5 ALL OTHER RACES
6 NOT ALL WHITE
8 DK
9 NA
2549
HSETH Label: Largest non white ethnic group in high school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACKS/AFRICAN-AMERICANS
2 HISPANICS
3 ASIANS
4 AMERICAN INDIANS
5 ALL, MIXED
6 2 OR MORE GROUPS
8 DK
9 NA
2550
COMPUSE Label: R use computer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2551
WEBTV Label: R has internet via webTV
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2552
WEBMOB Label: R uses home internet through mobile device
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
2553
EMAILMIN Label: Email minutes per week
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2554
EMAILHR Label: Email hours per week
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2555
USEWWW Label: R use www other than email
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2556
WWWHR Label: Www hours per week
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2557
WWWMIN Label: Www minutes per week
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2558
CHATHR Label: Chatroom hours per week
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2559
CHATMIN Label: Chatroom minutes per week
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2560
DRCTLINK Label: How often R links from homepage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN HALF OF THE TIME
3 ABOUT HALF OF THE TIME
4 MORE THAN HALF OF THE TIME
5 ALMOST ALWAYS
8 DK
9 NA
2561
TYPEURL Label: How often R types URLs by self
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN HALF OF THE TIME
3 ABOUT HALF OF THE TIME
4 MORE THAN HALF OF THE TIME
5 ALMOST ALWAYS
8 DK
9 NA
2562
SRCHENG Label: How often R uses search engine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN HALF OF THE TIME
3 ABOUT HALF OF THE TIME
4 MORE THAN HALF OF THE TIME
5 ALMOST ALWAYS
8 DK
9 NA
2563
BOOKMARK Label: How often R uses bookMarks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN HALF OF THE TIME
3 ABOUT HALF OF THE TIME
4 MORE THAN HALF OF THE TIME
5 ALMOST ALWAYS
8 DK
9 NA
2564
CATDRCTY Label: How often R uses web directories
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN HALF OF THE TIME
3 ABOUT HALF OF THE TIME
4 MORE THAN HALF OF THE TIME
5 ALMOST ALWAYS
8 DK
9 NA
2565
HYPERLNK Label: How often R uses links in other sites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 LESS THAN HALF OF THE TIME
3 ABOUT HALF OF THE TIME
4 MORE THAN HALF OF THE TIME
5 ALMOST ALWAYS
8 DK
9 NA
2566
EMAILLNK Label: How often does R link in an email from friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Less than half of the time
3 About half of the time
4 More than half of the time
5 Almost always
8 DONT KNOW
9 NO ANSWER
2567
FIN30 Label: R use financial information site in past 30 day
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2568
SCHL30 Label: R use school site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2569
EDUC30 Label: R use education site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2570
WORK30 Label: R use work site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2571
NEWS30 Label: R use news site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2572
GOVT30 Label: R use govt site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2573
POL30 Label: R use political information site in past 30 day
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2574
TRAVEL30 Label: R use travel site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2575
SPORTS30 Label: R use sports site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2576
MUSIC30 Label: R use music site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2577
ART30 Label: R use art site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2578
TVMOV30 Label: R use movie site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2579
HEALTH30 Label: R use health site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2580
RELIG30 Label: R use religion site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2581
GAMES30 Label: R use game site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2582
HUMOR30 Label: R use humor site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2583
PORN30 Label: R use pornographic site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2584
PERSON30 Label: R use Personal website in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2585
SCI30 Label: R use science site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2586
HOBBY30 Label: R use hobby site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2587
COOK30 Label: R use cooking site in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 3-5 TIMES
4 MORE THAN 5 TIMES
8 DK
9 NA
2588
WORK12 Label: R use web for work in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2589
HMEFIN12 Label: R use web for home finances in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2590
BUYINF12 Label: R use web for product information in past 12 mo
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2591
BUYIT12 Label: R use web to purchase products in past 12 month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2592
INVEST12 Label: R use web to invest money in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2593
PEOPLE12 Label: R use web to meet new people in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2594
HEALTH12 Label: R use web for health information in past 12 mon
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2595
TRAVEL12 Label: R use web for travel in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2596
LOCATE12 Label: R use web to find addresses in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2597
GAME12 Label: R use web for games in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2598
NEWJOB12 Label: R use web to look for new job in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2599
CHAT12 Label: R use web for chatrooms in past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2600
POLINF12 Label: R use web for political information in past 12
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2601
ECON12 Label: Past 12 months R web to learn economy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2602
ABORT12 Label: Past 12 months R web to learn abortion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2603
MORAL12 Label: Past 12 months R web to learn moral issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2604
FORAFF12 Label: Past 12 months R web to learn foreign affairs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2605
RACREL12 Label: Past 12 months R web to learn race relations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2606
ENVIRO12 Label: Past 12 months R web to learn environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2607
POLCAM12 Label: Past 12 months R web to learn pol campaigns
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2608
GUN12 Label: Past 12 months R web to learn gun control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2609
TAXES12 Label: Past 12 months R web to learn taxes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2610
FE12 Label: Past 12 months R web to learn gender issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2611
NEWS12 Label: Past 12 months R web to learn news
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2612
POLAGREE Label: Visit political sites R agrees with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not true
8 DONT KNOW
9 NO ANSWER
2613
POLNEUTL Label: Visit politically neutral sites
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2614
POLDSAGR Label: Visit political sites R disagrees with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2615
PETITION Label: Web make R sign petition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2616
CONTACT Label: Web make R contact elected official
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2617
MEETING Label: Web make R attend a political meeting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2618
POLNEW Label: R learn something new on the web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 CANT RECALL
9 NA
2619
VOTEFOR Label: Web make R decide to vote for a political candidate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2620
POLCHNGE Label: Web change R's mind
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2621
POLFORMS Label: Web help form opinions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2622
POLCONF Label: Web help confirm opinions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2623
POLALTER Label: Web help change mind
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2624
POLTOUGH Label: Web show issues more complicated
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2625
ARTSMIN Label: How many minutes at arts websites
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2626
ARTSHR Label: How many hours at arts websites
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2627
ARTSCHAT Label: Use chatrooms about arts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
2628
ARTSNEW Label: R learn something new on web about arts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 CANT RECALL
9 NA
2629
ARTSCHNG Label: Web change mind about arts on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2630
WWWMUSIC Label: Use the web to learn about music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2631
MUSICINF Label: Use web to get music information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2632
MUSICGET Label: Use web to download music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2633
MUSICLST Label: Use web to listen to radio
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2634
MUSICBUY Label: Use web to buy music after hearing on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2635
WWWCLASS Label: In last month listen classical music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2636
WWWCNTRY Label: In last month listen country music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2637
WWWGTHIC Label: In last month listen gothic music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2638
WWWJAZZ Label: In last month listen jazz music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2639
WWWOLDIE Label: In last month listen oldies music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2640
WWWRAP Label: In last month listen rap music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2641
WWWRELIG Label: In last month listen religious music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2642
WWWROCK Label: In last month listen rock music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2643
WWWWORLD Label: In last month listen world music on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 1-2 TIMES
3 MORE THAN 2 TIMES
8 DK
9 NA
2644
MUSICLKE Label: Visit sites about music R likes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2645
MUSICDIF Label: Visit many different types of music
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2646
MUSICNEW Label: Visit sites about music not usually heard
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TRUE
8 DK
9 NA
2647
WWWART Label: Use web to learn about visual arts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2648
ARTMUS1 Label: Use web to learn about upcoming exhibits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2649
ARTMUS2 Label: Use web to learn about existing exhibits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2650
ARTVIEW Label: Use web to look at art works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2651
ARTINFO Label: Use web to find info about artists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2652
ARTMUS3 Label: Visit museum after learning on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2653
WWWLIT Label: Use web to learn about literature
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2654
LITSITE Label: Use web to learn about a book or poem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2655
LITGET Label: Use web to download poem or fiction
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2656
LITAUTH Label: Visit site associated with writer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2657
LITREAD Label: Read book after seeing author on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2658
WWWPERSN Label: Has R met person on web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2659
WWWSP Label: Has anyone met on web become spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2660
WWWGFBF Label: Has anyone met on web become partner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2661
WWWCOWRK Label: Has anyone met on web become coworker
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2662
WWWBIZ Label: Has anyone met on web become business partner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2663
WWWNEI Label: Has anyone met on wen become neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2664
WWWFRND Label: Has anyone met on web become friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2665
WWWVOL Label: Has anyone met on web become volunteer with R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2666
ONLINE Label: Has R used online help for software
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2667
MANUAL Label: Has R consulted manual for help with software
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2668
CALLCOMP Label: Has R called software company for help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2669
ASKWORK Label: Has R asked someone at work for help with software
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2670
ASKOTHER Label: Has R asked someone else for help with software
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2671
PAYOTHER Label: Has R paid for help with software
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2672
DOONOWN Label: Has R figured out problems with software on own
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2673
ADVSP Label: R can ask spouse or partner for software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2674
ADVCHLD Label: R can ask son or daughter for software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2675
ADVPAR Label: R can ask parent for software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2676
ADVSIB Label: R can ask sibling or sibling partner software h
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2677
ADVFAM Label: R can ask other family members software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2678
ADVTCHR Label: R can ask teacher software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2679
ADVSTU Label: R can ask other student software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2680
ADVSUP Label: R can ask work supervisor software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2681
ADVCOWRK Label: R can ask coworker software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2682
ADVCFRND Label: R can ask close friend software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2683
ADVOFRND Label: R can ask acquaintance software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2684
ADVLIB Label: R can ask librarian software help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2685
SRCHENG1 Label: Does R know the name of a search engine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2686
SRCHENG2 Label: Name of search engine given by R
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 YAHOO
2 LYCOS
3 SEARCH.COM
4 GOPHER
5 ALL THE WEB
6 MSN
7 EBAY
8 INFOSEEK
9 ALTAVISTA
10 EXPLORER
11 NETSCAPE
12 ISEARCH
13 EXCITE
14 AOL
15 JAVA
16 WEBCRAWLER
17 HOTBOT
18 GOOGLE
19 COPERNIC
20 ASK JEEVES
21 IWON
22 DOGPILE
23 STREETVIOLENCE.COM
24 BROWSER
25 NORTHERN LIGHTS
26 WWW.IRS.COM
27 NETFIND
28 KEYSEARCH
29 METACRAWLER
30 UPROAR.COM
31 SIAP
32 GO
33 MYWAY
34 FUSE
35 ESPN
36 USWEST
37 TERRA.COM
38 GOTO.COM
39 BIZRATE
40 FASTSEARCH
41 SHERLOCK
42 LYNCO
43 INFERENCE
44 4ANYTHING
45 NAVISTAR
98 DK
99 NA
2687
DOWNLOAD Label: Does R know how to download files from www
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2688
UPLOAD Label: Does R know how to upload files to www
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2689
CMPVIRUS Label: Does R know what a computer virus is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2690
HLTHINFO Label: R sought health information past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2691
HLTHPAPR Label: R sought health information newspaper articles
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2692
HLTHMAG1 Label: R sought health information general interest magazines
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2693
HLTHMAG2 Label: R sought health information health magazines
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2694
HLTHDOC Label: R sought health information doctor or nuR'se
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2695
HLTHFREL Label: R sought health information friends or relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2696
HLTHTV Label: R sought health information TV or radio
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2697
HLTHWWW Label: R sought health information www
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2698
POLINFO Label: R sought political information past 2 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2699
POLPAPR Label: R sought political information daily newspaper
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2700
POLMAG1 Label: R sought political info general interest magazines
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2701
POLMAG2 Label: R sought political information political magazine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2702
POLTV Label: R sought political information TV or radio
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2703
POLFREL Label: R sought political information friends or relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2704
POLCAMP Label: R sought political information political campaign
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2705
POLWWW Label: R sought political information www
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3 OR MORE TIMES
8 DK
9 NA
2706
BUYINFGN Label: R sought information purchase past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2707
INVESTGN Label: R invested money past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2708
TRAVELGN Label: R made travel reservations past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2709
PEOPLEGN Label: R tried to meet new people past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2710
GAMEGN Label: R play an indoor game past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2711
NEWJOBGN Label: R look for new job past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2712
POLDISGN Label: R discuss political views past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2713
POLINFGN Label: R sought political information past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2714
PERFRMGN Label: R obtain information on performing arts past ye
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2715
ARTGN Label: R obtain information on art exhibit past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2716
POLCANGN Label: R look up views of political candidate for office
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DK
9 NA
2717
NUMCNTCT Label: How many people in contact least once a year
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
995 UNSPECIFIED, 1 OR MORE
996 TOO MANY TO LIST
998 DK
999 NA
2718
INPERSON Label: How many people seen in person
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 0
2 1-2
3 3-5
4 6-10
5 11-15
6 16-25
7 26-50
8 50+
98 DK
99 NA
2719
BYPHONE Label: How many people talk to on phone
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 0
2 1-2
3 3-5
4 6-10
5 11-15
6 16-25
7 26-50
8 50+
98 DK
99 NA
2720
LETTERS Label: How many people write letters to
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 0
2 1-2
3 3-5
4 6-10
5 11-15
6 16-25
7 26-50
8 50+
98 DK
99 NA
2721
MEETINGS Label: How many people seen at church or group meeting
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 0
2 1-2
3 3-5
4 6-10
5 11-15
6 16-25
7 26-50
8 50+
98 DK
99 NA
2722
BYEMAIL Label: How many people send email
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 0
2 1-2
3 3-5
4 6-10
5 11-15
6 16-25
7 26-50
8 50+
98 DK
99 NA
2723
COMPHOME Label: Does R have computer at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2724
USEHOME Label: Does R use computer at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2725
NUMHOME Label: How many computers at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
-1 IAP
0 IAP
8 DK
9 NA
2726
WWWHOME Label: Can R use www at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2727
PAYWWW Label: Does employer pay for www
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EMPLOYER PROVIDES INTERNET CONNECTION AT NO CHARGE
2 COVERS SOME BUT NOT ALL OF COST
3 DOES NOT CONTRIBUTE TO COST OF USING INTERNET
8 DK
9 NA
2728
WWWLINE1 Label: Is www through phone line
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REGULAR TELEPHONE LINE
2 OTHER MEANS
8 DK
9 NA
2729
WWWLINE2 Label: Means to www
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPECIAL HIGH-SPEED TELE LINE (ISDN) CNCTED TO CMPTR
2 CABLE SERVICE LINE CNCTD TO COMPUTER
3 WEB TV LINE, CNCTD TO TV SET
4 MORE THAN ONE TYPE OF CNCTION
5 OTHER, NOT NAMED ABOVE
6 WIRELESS CONNECTION(e.g.FROM A SATELLITE)
8 DK
9 NA
2730
ECOMMINH Label: Minutes per week use computer household management
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2731
ECOMHRH Label: Hours per week use computer household management
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2732
PERMINH Label: Minutes per week use computer Personal interest
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2733
PERHRH Label: Hours per week use computer Personal interest
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2734
WRKMINH Label: Minutes per week use computer make money
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2735
WRKHRH Label: Hours per week use computer make money
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2736
EMMINH Label: Minutes per week use computer email
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2737
EMHRH Label: Hours per week use computer email
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2738
WWWMINH Label: Minutes per week use computer www
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2739
WWWHRH Label: Hours per week use computer www
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2740
COMPWORK Label: Does R use computer at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2741
JOBMINW Label: Minutes per week using work computer job
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2742
JOBHRW Label: Hours per week using work computer job
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2743
INCMINW Label: Minutes per week using work computer make money
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2744
INCHRW Label: Hours per week using work computer make money
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2745
ECOMMINW Label: Minutes per week using work computer hsehld mng
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2746
ECOMHRW Label: Hours per week using work computer hsehld mngmn
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2747
PERMINW Label: Minutes per week using work computer Personal i
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2748
PERHRW Label: Hours per week using work computer Personal int
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2749
EMMINW Label: Minutes per week using work computer email
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2750
EMHRW Label: Hours per week using work computer email
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2751
WWWMINW Label: Minutes per week using work computer www
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2752
WWWHRW Label: Hours per week using work computer www
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2753
COMPOTH Label: Does R use computer not at home or work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2754
COMPSCHL Label: Does R use computer at school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2755
COMPLIB Label: Does R use computer at library
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2756
COMPFRI Label: Does R use computer at friends house
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2757
COMPELSE Label: Does R use computer somewhere else
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2758
MOSTLOC Label: Where Does R use computer most
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SCHOOL
2 LIBRARY
3 FRIENDS HOUSE
4 OTHER
8 DK
9 NA
2759
ECOMMINO Label: Minutes per week using other computer hsehld mn
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2760
ECOMHRO Label: Hours per week using other computer hsehld mngm
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2761
PERMINO Label: Minutes per week using other computer Personal
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2762
PERHRO Label: Hours per week using other computer Personal in
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2763
WRKMINO Label: Minutes per week using other computer make money
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2764
WRKHRO Label: Hours per week using other computer make money
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2765
EMMINO Label: Minutes per week using other computer email
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2766
EMHRO Label: Hours per week using other computer email
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2767
WWWMINO Label: Minutes per week using other computer www
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
2768
WWWHRO Label: Hours per week using other computer www
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2769
EMSENT Label: How many email messages sent per day
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2770
EMSENTP Label: How many personal email messages sent per day
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2771
EMGET Label: How many email messages received per day
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2772
EMGETP Label: How many personal messages received per day
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2773
EMWRKLOC Label: R send or receive to or from coworkers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2774
EMWRKAWY Label: R send or receive to or from business contacts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2775
EMFAMLOC Label: R send or receive to or from family members at
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2776
EMFAMOTH Label: R send or receive to or from other family members
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2777
EMFRI Label: R send or receive to or from friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2778
EMCHURCH Label: R send or receive to or from church members
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2779
EMGROUPS Label: R send or receive to or from group members
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2780
INTUSE Label: Use internet/apps more than occassionally
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2781
INTSTART Label: Year starting to use internet/apps
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
2782
INTMBILE Label: Use internet/apps from phone or tablet
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2783
INTRECNT Label: Used internet/apps yesterday
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, used Internet yesterday
2 No, did not use Internet yesterday
8 DK
9 NA
2784
TWITTER Label: Use Twitter
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2785
FACEBOOK Label: Use Facebook
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2786
INSTAGRM Label: Use Instagrm
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2787
LINKEDIN Label: Use Linkedin
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2788
SNAPCHAT Label: Use Snapchat
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2789
TUMBLR Label: Use Tumblr
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2790
WHATSAPP Label: Use Whatsapp
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2791
GOOGLESN Label: Use Googlesn
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2792
PINTERST Label: Use Pinterest
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2793
FLICKR Label: Use Flickr
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2794
VINE Label: Use Vine
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2795
CLSSMTES Label: Use Clssmtes
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2796
SNSMOTH1 Label: Do you use any other social networks
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
2797
SNSMOT2A Label: First other social network
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Youtube
2 Myspace
3 Reddit
4 Viber
5 Line
6 Plenty of Fish
7 Kik
8 Ravelry
9 WeChat
11 IMO
12 Online Dating Sites
13 Spotify
14 GroupMe
15 Tinder
16 Hangouts
17 ResearchGate
18 Online Gaming
19 Yahoo
30 Other Social Networks
40 Not a Social Network
98 DK
99 NA
2798
SNSMOT2B Label: Second other social network
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Youtube
2 Myspace
3 Reddit
4 Viber
5 Line
6 Plenty of Fish
7 Kik
8 Ravelry
9 WeChat
11 IMO
12 Online Dating Sites
13 Spotify
14 GroupMe
15 Tinder
16 Hangouts
17 ResearchGate
18 Online Gaming
19 Yahoo
30 Other Social Networks
40 Not a Social Network
98 DK
99 NA
2799
SNSMOT2C Label: Third other social network
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Youtube
2 Myspace
3 Reddit
4 Viber
5 Line
6 Plenty of Fish
7 Kik
8 Ravelry
9 WeChat
11 IMO
12 Online Dating Sites
13 Spotify
14 GroupMe
15 Tinder
16 Hangouts
17 ResearchGate
18 Online Gaming
19 Yahoo
30 Other Social Networks
40 Not a Social Network
98 DK
99 NA
2800
SNSMNEW Label: Which social network did you join most recently
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Twitter
2 Facebook
3 Instagram
4 Linkedin
5 Snapchat
6 Tumblr
7 WhatsApp
8 Google+ - Google's social network platform
9 Pinterest
10 Flickr
11 Vine
12 Classmates
13 Youtube
14 Myspace
15 Reddit
16 Viber
17 Line
18 Plenty of Fish
19 Kik
20 Ravelry
22 WeChat
23 IMO
24 Online Dating Sites
25 Spotify
26 GroupMe
27 Tinder
28 Hangouts
29 ResearchGate
30 Online Gaming
31 Yahoo
32 Other Social Networks
33 Not a Social Network
98 DK
99 NA
2801
SNSMYEAR Label: Year first joined sns
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
2802
SNSMFRST Label: Which social network did you join first
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Twitter
2 Facebook
3 Instagram
4 Linkedin
5 Snapchat
6 Tumblr
7 WhatsApp
8 Google+ - Google's social network platform
9 Pinterest
10 Flickr
11 Vine
12 Classmates
13 Youtube
14 Myspace
15 Reddit
16 Viber
17 Line
18 Plenty of Fish
19 Kik
20 Ravelry
22 WeChat
23 IMO
24 Online Dating Sites
25 Spotify
26 GroupMe
27 Tinder
28 Hangouts
29 ResearchGate
30 Online Gaming
31 Yahoo
32 Other Social Networks
33 Not a Social Network
98 DK
99 NA
2803
INTWKDYM Label: Minutes of internet use on weekdays
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-3 NA
-2 DON'T KNOW
-1 IAP
98 DK
99 NA
2804
INTWKDYH Label: Hours of internet use on weekdays
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-3 NA
-2 DON'T KNOW
-1 IAP
98 DK
99 NA
2805
INTWKENM Label: Minutes of internet use on weekends
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-3 NA
-2 DON'T KNOW
-1 IAP
98 DK
99 NA
2806
INTWKENH Label: Hours of internet use on weekends
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-3 NA
-2 DON'T KNOW
-1 IAP
98 DK
99 NA
2807
NUMPROBS Label: How many friends close to discuss problems
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR HIGHER
98 DONT KNOW
99 NO ANSWER
2808
BYEMPROB Label: How many friends discuss problems via email
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR HIGHER
98 DONT KNOW
99 NO ANSWER
2809
INTACCSS Label: Does R have internet through cell phone or pda
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2810
JOBINFO Label: R sought employment info past year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2811
JOBPAPER Label: Times R sought job information from newspaper
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2812
JOBPUB Label: Times R sought job information from publication
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2813
JOBCOWRK Label: Times R sought job information from co-workers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2814
JOBCNTCT Label: Times R sought job information from contact outside
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2815
JOBFRNDS Label: Times R sought job information from friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2816
JOBPLACE Label: Times R sought job information from counseling service
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2817
JOBTVRAD Label: Times R sought job information from radio or TV
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2818
JOBONWWW Label: Times R sought job information from internet
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 1 OR 2 TIMES
2 3-5 TIMES
3 6 OR MORE TIMES
8 DONT KNOW
9 NO ANSWER
2819
EMAILYR Label: When R first began using email
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 This year (2002)
2 In the last year (2001)
3 1-2 years ago (2000)
4 2-3 years ago (1999)
5 3-4 years ago (1998)
6 4-5 years ago (1997)
7 5 or more years ago (1990-1996)
8 DONT KNOW
9 NO ANSWER
2820
WEBYR Label: When R first began using web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 This year
2 In the last year
3 1-2 years ago
4 2-3 years ago
5 3-4 years ago
6 4-5 years ago
7 5 or more years ago
8 DONT KNOW
9 NO ANSWER
2821
WEBABLE Label: R's ability to use internet
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Excellent
2 Good
3 Fair
4 Poor
5 Very poor
8 DONT KNOW
9 NO ANSWER
2822
MANBOOK Label: R consulted manual for help with web
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2823
CUSSUP Label: R called software company
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2824
TECSUP Label: Called tech support at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2825
ASKWKSCH Label: R figured out problems with web on own
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2826
ASKELSE Label: R asked someone else for help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2827
PAYELSE Label: R has paid for help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2828
DOSELF Label: R figured out problems with web on own
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2829
PROCESSR Label: R knows what a processor is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The size of the hard drive
2 The speed of the hard drive
3 The type of microprocessor
8 DONT KNOW
9 NO ANSWER
2830
BROWSER1 Label: R knows what an internet web browser is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2831
BROWSER2 Label: Can R give the name of a web browser
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2832
BROWSER3 Label: R specify name of web browser
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 EXPLORER
2 NETSCAPE
3 EXCITE
4 MSN
5 AOL
6 GOOGLE
7 YAHOO
8 EARTHLINK
9 LYCOS
10 COMPUSERVE
11 BONZI
12 GOTO
13 ALTAVISTA
14 HOTBOT
15 SIAP
16 MINDSPRING
17 DOGPILE
18 PRODIGY
19 ASK JEEVES
20 DSL
21 NETRAX
22 WEBCORNER
23 MOZILLA
24 EVERYONESINTERNET
25 MAMMA
26 DOGPATCH
27 OTHER
98 DK
99 NA
2833
ADVSRCH Label: How familiar R is with term advanced search
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very familiar
2 Somewhat familiar
3 Not familiar
8 DONT KNOW
9 NO ANSWER
2834
MP3 Label: How familiar R is with term mp3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very familiar
2 Somewhat familiar
3 Not familiar
8 DONT KNOW
9 NO ANSWER
2835
EZINES Label: How familiar R is with term e-zines
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very familiar
2 Somewhat familiar
3 Not familiar
8 DONT KNOW
9 NO ANSWER
2836
PREFSETS Label: How familiar R is with term preference settings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very familiar
2 Somewhat familiar
3 Not familiar
8 DONT KNOW
9 NO ANSWER
2837
NEWSGRPS Label: How familiar R is with term newsgroups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very familiar
2 Somewhat familiar
3 Not familiar
8 DONT KNOW
9 NO ANSWER
2838
TIMEKID1 Label: Time R spends with child 1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2839
TIMEKID2 Label: Time R spends with child 2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2840
TIMEKID3 Label: Time R spends with child 3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2841
TIMEKID4 Label: Time R spends with child 4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2842
SPTMKID1 Label: Time spouse spends with child 1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2843
SPTMKID2 Label: Time spouse spends with child 2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2844
SPTMKID3 Label: Time spouse spends with child 3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2845
SPTMKID4 Label: Time spouse spends with child 4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2846
KDTMKID1 Label: Time child 1 spends with R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2847
KDTMKID2 Label: Time child 2 spends with R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2848
KDTMKID3 Label: Time child 3 spends with R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2849
KDTMKID4 Label: Time child 4 spends with R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOO MUCH
2 ABOUT THE RIGHT AMOUNT
3 TOO LITTLE
8 DK
9 NA
2850
KNOWKID1 Label: R knows what child is doing on weekend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALL OF THE TIME
2 MOST OF THE TIME
3 ABOUT HALF OF THE TIME
4 SOME OF THE TIME
5 HARDLY ANY OF THE TIME
8 DK
9 NA
2851
KNOWKID2 Label: R knows what child is doing on weekend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALL OF THE TIME
2 MOST OF THE TIME
3 ABOUT HALF OF THE TIME
4 SOME OF THE TIME
5 HARDLY ANY OF THE TIME
8 DK
9 NA
2852
KNOWKID3 Label: R knows what child is doing on weekend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALL OF THE TIME
2 MOST OF THE TIME
3 ABOUT HALF OF THE TIME
4 SOME OF THE TIME
5 HARDLY ANY OF THE TIME
8 DK
9 NA
2853
KNOWKID4 Label: R knows what child is doing on weekend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST ALL OF THE TIME
2 MOST OF THE TIME
3 ABOUT HALF OF THE TIME
4 SOME OF THE TIME
5 HARDLY ANY OF THE TIME
8 DK
9 NA
2854
HUCLEAN Label: R HU interior cleanliness rating
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CLEAN
2 CLEAN
3 SO-SO
4 NOT VERY CLEAN
5 DIRTY
6 INTERVIEWER NEVER SAW THE INTERIOR OF THE RESPONDENT'S HU
8 DON'T KNOW
9 NO ANSWER
2855
HOMEBAND Label: How home is connected to www
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 TELEPHONE LINE
2 DSL
3 CABLE
4 SATELLITE
5 WIRELESS
6 CELLPHONE
7 OTHER
8 NOT AT ALL
9 DK NA
2856
FREEMNS1 Label: What does freedom mean to you
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98
Value Label
0 IAP
1 WANT:DOING WHAT I WANT
2 AUTONOMY:SELF-REALIZATION
3 CHOICES:MAKING DECISION
4 RIGHTS:RELIGION AND SPEECH
5 MOVEMENT:MOVEMENT AND TRAVEL
6 NEGATIVE:SLAVE SURBORDINATE DISCRIMINATION
7 CITIZEN:POLITICAL PARTICIPATION
8 SECURITY:ECONOMIC INDEPENDENCE
9 OTHER
98 DONT KNOW
2857
FREEMNS2 Label: What does freedom mean to you
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98
Value Label
0 IAP
1 WANT:DOING WHAT I WANT
2 AUTONOMY:SELF-REALIZATION
3 CHOICES:MAKING DECISION
4 RIGHTS:RELIGION AND SPEECH
5 MOVEMENT:MOVEMENT AND TRAVEL
6 NEGATIVE:SLAVE SURBORDINATE DISCRIMINATION
7 CITIZEN:POLITICAL PARTICIPATION
8 SECURITY:ECONOMIC INDEPENDENCE
9 OTHER
98 DONT KNOW
2858
FREEMNS3 Label: What does freedom mean to you
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98
Value Label
0 IAP
1 WANT:DOING WHAT I WANT
2 AUTONOMY:SELF-REALIZATION
3 CHOICES:MAKING DECISION
4 RIGHTS:RELIGION AND SPEECH
5 MOVEMENT:MOVEMENT AND TRAVEL
6 NEGATIVE:SLAVE SURBORDINATE DISCRIMINATION
7 CITIZEN:POLITICAL PARTICIPATION
8 SECURITY:ECONOMIC INDEPENDENCE
9 OTHER
98 DONT KNOW
2859
FREEEXP1 Label: What experiences in life make you feel most free
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98
Value Label
0 IAP
1 MOVING:DRIVING TRAVEL
2 LEISURE:RECREATION ENJOYABLE ACTIVITY
3 SOCIAL:ENGAGEMENT WITH FAMILY OR INSTITUTIONS
4 NEGATIVE:NO OBIGATION, DIVORCED, BEING ALONE
5 INNER:SPIRITUAL AND RELIGIOUS FREEDOM
6 CHOICES:VARIANT OF MAKING CHOICES
7 CITIZEN:POLITICAL PARTICIPATION
8 SECURITY:ECONOMIC SECURITY AND INDEPENDENCE
9 OTHER
98 NO ANSWER DONT KNOW
2860
FREEEXP2 Label: What experiences in life make you feel most free
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98
Value Label
0 IAP
1 MOVING:DRIVING TRAVEL
2 LEISURE:RECREATION ENJOYABLE ACTIVITY
3 SOCIAL:ENGAGEMENT WITH FAMILY OR INSTITUTIONS
4 NEGATIVE:NO OBIGATION, DIVORCED, BEING ALONE
5 INNER:SPIRITUAL AND RELIGIOUS FREEDOM
6 CHOICES:VARIANT OF MAKING CHOICES
7 CITIZEN:POLITICAL PARTICIPATION
8 SECURITY:ECONOMIC SECURITY AND INDEPENDENCE
9 OTHER
98 NO ANSWER DONT KNOW
2861
FREEEXP3 Label: What experiences in life make you feel most free
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98
Value Label
0 IAP
1 MOVING:DRIVING TRAVEL
2 LEISURE:RECREATION ENJOYABLE ACTIVITY
3 SOCIAL:ENGAGEMENT WITH FAMILY OR INSTITUTIONS
4 NEGATIVE:NO OBIGATION, DIVORCED, BEING ALONE
5 INNER:SPIRITUAL AND RELIGIOUS FREEDOM
6 CHOICES:VARIANT OF MAKING CHOICES
7 CITIZEN:POLITICAL PARTICIPATION
8 SECURITY:ECONOMIC SECURITY AND INDEPENDENCE
9 OTHER
98 NO ANSWER DONT KNOW
2862
HOWFREE Label: How much freedom do Americans have
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE FREEDOM
2 A GREAT DEAL OF FREEDOM
3 A MODERATE DEGREE OF FREEDOM
4 NOT MUCH FREEDOM
5 NO FREEDOM AT ALL
8 DK
9 NA
2863
RHOWFREE Label: How much freedom Does R have
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE FREEDOM
2 A GREAT DEAL OF FREEDOM
3 A MODERATE DEGREE OF FREEDOM
4 NOT MUCH FREEDOM
5 NO FREEDOM AT ALL
8 DK
9 NA
2864
FREENOW Label: Americans have more freedom than in past
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MORE FREEDOM
2 ABOUT THE SAME AMOUNT OF FREEDOM
3 LESS FREEDOM
8 DK
9 NA
2865
RFREENOW Label: R have more freedom than in past
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MORE FREEDOM
2 ABOUT THE SAME AMOUNT OF FREEDOM
3 LESS FREEDOM
8 DK
9 NA
2866
SATDEMOC Label: R satisfied with way democracy works in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SATISFIED
2 FAIRLY SATISFIED
3 NOT VERY SATISFIED
4 NOT AT ALL SATISFIED
8 DK
9 NA
2867
LEFTLONE Label: Being left alone important for freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF THE MOST IMPORTANT
2 EXTREMELY IMPORTANT
3 VERY IMPORTANT
4 MODERATELY IMPORTANT
5 SOMEWHAT IMPORTANT
6 NOT TOO IMPORTANT
8 DK
9 NA
2868
NOGOVT Label: No govt interference important for freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF THE MOST IMPORTANT
2 EXTREMELY IMPORTANT
3 VERY IMPORTANT
4 MODERATELY IMPORTANT
5 SOMEWHAT IMPORTANT
6 NOT TOO IMPORTANT
8 DK
9 NA
2869
INPEACE Label: Feeling of inner peace important for freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF THE MOST IMPORTANT
2 EXTREMELY IMPORTANT
3 VERY IMPORTANT
4 MODERATELY IMPORTANT
5 SOMEWHAT IMPORTANT
6 NOT TOO IMPORTANT
8 DK
9 NA
2870
PARTPOL Label: Political participation important for freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF THE MOST IMPORTANT
2 EXTREMELY IMPORTANT
3 VERY IMPORTANT
4 MODERATELY IMPORTANT
5 SOMEWHAT IMPORTANT
6 NOT TOO IMPORTANT
8 DK
9 NA
2871
CHOICE Label: Choice what to do in life important for freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF THE MOST IMPORTANT
2 EXTREMELY IMPORTANT
3 VERY IMPORTANT
4 MODERATELY IMPORTANT
5 SOMEWHAT IMPORTANT
6 NOT TOO IMPORTANT
8 DK
9 NA
2872
EXPUNPOP Label: Expression of unpopular ideas important for freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE OF THE MOST IMPORTANT
2 EXTREMELY IMPORTANT
3 VERY IMPORTANT
4 MODERATELY IMPORTANT
5 SOMEWHAT IMPORTANT
6 NOT TOO IMPORTANT
8 DK
9 NA
2873
FREEPRSS Label: Press should be completely free
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 THERE SHOULD BE COMPLETE FREEDOM OF THE PRESS, EVEN IF
2 THE PRESS SHOULD DEVELOP A CODE OF ETHICS TO KEEP IT
3 THE GOVERNMENT SHOULD KEEP THE PRESS FROM PRINTING
8 DK
9 NA
2874
WLTHPOV Label: Some rich some poor ok in free society
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
2875
CNTRLIFE Label: Control R feels over own life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO CHOICE AND CONTROL
4 SOME CHOICE AND CONTROL
7 A GREAT DEAL OF CHOICE AND CONTROL
8 DK
9 NA
2876
MODACT Label: R limited in moderate activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, LIMITED A LOT
2 YES, LIMITED A LITTLE
3 NO, NOT LIMITED AT ALL
8 DK
9 NA
2877
STAIRS Label: R limited in climbing staiR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, LIMITED A LOT
2 YES, LIMITED A LITTLE
3 NO, NOT LIMITED AT ALL
8 DK
9 NA
2878
DIDLESSP Label: Health prevent doing desired activities past 4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2879
LIMITEDP Label: Health limit type of work past 4 wks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2880
DIDLESSE Label: Emotion prevent desired activities past 4 wks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2881
CRELESSE Label: Emotion work less carefully past 4 wks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
2882
PAIN Label: Pain interfere with work past 4 wks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL
2 A LITTLE BIT
3 MODERATELY
4 QUITE A BIT
5 EXTREMELY
8 DK
9 NA
2883
PEACEFUL Label: Felt peaceful in past 4 wks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 A GOOD BIT OF THE TIME
4 SOME OF THE TIME
5 A LITTLE BIT OF THE TIME
6 NON OF THE TIME
8 DK
9 NA
2884
ENERGY Label: Have a lot of energy in past 4 wks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 A GOOD BIT OF THE TIME
4 SOME OF THE TIME
5 A LITTLE BIT OF THE TIME
6 NON OF THE TIME
8 DK
9 NA
2885
DOWNBLUE Label: Felt down and blue in past 4 wks
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 A GOOD BIT OF THE TIME
4 SOME OF THE TIME
5 A LITTLE BIT OF THE TIME
6 NON OF THE TIME
8 DK
9 NA
2886
SOCACTS Label: Physical and emotion social activities past 4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALL OF THE TIME
2 MOST OF THE TIME
3 A GOOD BIT OF THE TIME
4 SOME OF THE TIME
5 A LITTLE BIT OF THE TIME
6 NON OF THE TIME
8 DK
9 NA
2887
TREAT1 Label: R seek treat moderate activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2888
TREAT2 Label: R seek treat climbing staiR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2889
TREAT3 Label: R seek treat doing less than desired physic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2890
TREAT4 Label: R seek treat limited types of work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2891
TREAT5 Label: R seek treat doing less than desired emotio
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2892
TREAT6 Label: R seek treat working less carefully
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2893
TREAT7 Label: R seek treat pain interfere with work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2894
TREAT8 Label: R seek treat not calm and peaceful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2895
TREAT9 Label: R seek treat lack of energy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2896
TREAT10 Label: R seek treat downhearted and blue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2897
TREAT11 Label: R seek treat health interfere with social l
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY GO
2 PROBABLY GO
3 PROBABLY NOT GO
4 DEFINITELY NOT GO
8 DK
9 NA
2898
WAIT1 Label: How long R wait treatment moderate activity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2899
WAIT2 Label: How long R wait treatment climbing stairs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2900
WAIT3 Label: How long R wait treatment doing less work p
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2901
WAIT4 Label: How long R wait treatment limited types of
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2902
WAIT5 Label: How long R wait treatment doing less work e
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2903
WAIT6 Label: How long R wait treatment working less care
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2904
WAIT7 Label: How long R wait treatment pain interfere wi
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2905
WAIT8 Label: How long R wait treatment not calm and peace
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2906
WAIT9 Label: How long R wait treatment lack of energy
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2907
WAIT10 Label: How long R wait treatment downhearted and b
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2908
WAIT11 Label: How long R wait treatment health interfere
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
0 ZERO DAYS
991 SOME DAYS
992 SOME WEEKS
993 SOME MONTHS
998 DK
999 NA
2909
DOWNQOL Label: Treatment for downheartedness improve quality of life
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2910
DOWNFAM Label: Treatment for downheartedness improve family
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2911
DOWNCURE Label: Treatment for downheartedness cure condition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2912
DOWNRELY Label: Treatment for downheartedness rely less on
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2913
DOWNFEEL Label: Treatment for downheartedness improve feelings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2914
PAINQOL Label: Treatment for pain improve quality of life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2915
PAINFAM Label: Treatment for pain improve family relations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2916
PAINCURE Label: Treatment for pain cure condition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2917
PAINRELY Label: Treatment for pain rely less on others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2918
PAINFEEL Label: Treatment for pain improve feeling about se
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2919
EMOTQOL Label: Treatment for emotion improve quality of li
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2920
EMOTFAM Label: Treatment for emotion improve family relations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2921
EMOTCURE Label: Treatment for emotion cure condition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2922
EMOTRELY Label: Treatment for emotion rely less on others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2923
EMOTFEEL Label: Treatment for emotion improve feeling about
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY EXPECT
2 PROBABLY EXPECT
3 PROBABLY NOT EXPECT
4 DEFINITELY NOT EXPECT
8 DK
9 NO ANSWER
2924
ETHIMP Label: Importance of ethnic group to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Important
2 Moderately Important
3 Slightly Important
4 Not at All Important
8 DONT KNOW
9 NO ANSWER
2925
ETHIGNOR Label: US harmony by ignore ethnic differences
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2926
ETHNOFIT Label: Eth minorities never fit in am mainstream
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2927
ETHTRADS Label: Society recognize right of ethnic traditions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2928
ETHADAPT Label: Minorities must adapt to American culture
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2929
FEELBLKS Label: How R feels towards african Americans
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Very Warm
9 Very Cool
98 DONT KNOW
99 NO ANSWER
2930
FEELASNS Label: How R feels towards Asian Americans
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Very Warm
9 Very Cool
98 DONT KNOW
99 NO ANSWER
2931
FEELHSPS Label: How R feels towards Hispanics
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Very Warm
9 Very Cool
98 DONT KNOW
99 NO ANSWER
2932
FEELWHTS Label: How R feel towards caucAsians
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Very Warm
9 Very Cool
98 DONT KNOW
99 NO ANSWER
2933
ETHSAME Label: Individual of same ethnic group similar
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2934
ETHDIFF Label: Ethnic groups in us different
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2935
WHTSDIFF Label: Whites different from minorities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2936
DOCVIG Label: Vignette about the doctor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Our physcian s group...(c4)
2 It use to be that physicans...(c5)
3 I can understand...(c6)
4 I understand that...(c7)
5 I have had a lot...(c8)
6 I usually don t order...(c9)
2937
REGDOC Label: R has regular doctor or clinic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2938
REGDOCYR Label: R has had doctor for more than one year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2939
DOCASKME Label: R prefers doc ask opinion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Moderately agree
3 Slightly agree
4 Slightly disagree
5 Moderately disagree
6 Strongly disagree
8 DONT KNOW
9 NO ANSWER
2940
DOCDECID Label: R leaves decisions up to doctor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Moderately agree
3 Slightly agree
4 Slightly disagree
5 Moderately disagree
6 Strongly disagree
8 DONT KNOW
9 NO ANSWER
2941
DOCRELY Label: R relies on doctors knowledge
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Moderately agree
3 Slightly agree
4 Slightly disagree
5 Moderately disagree
6 Strongly disagree
8 DONT KNOW
9 NO ANSWER
2942
HLTHPLAN Label: R had medicare or medicaid
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2943
CHOSEDOC Label: R had enough choices among docs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2944
INSRLMTS Label: R's insurance plan has limits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2945
DIFFCARE Label: R had difficulty getting specialty care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2946
FININC Label: R heard docs limit used of exp tests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2947
FININC1 Label: Importance to R to be told about incentives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Somewhat important
3 Neither important nor unimportant
4 Somewhat unimportant
5 Very unimportant
8 DONT KNOW
9 NO ANSWER
2948
FININC2 Label: Best time to be told about incentives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 When you enroll in a health plan
2 When you first see your doctor
3 When you need a test or specialist
8 DONT KNOW
9 NO ANSWER
2949
FININC3 Label: Best person to tell about incentives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Your doctor
2 A representative of your health plan
3 Both your doctor and a representative of health plan
8 DONT KNOW
9 NO ANSWER
2950
FININC4 Label: R likely to ask doc about incentives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Neither likely nor unlikely
4 Somewhat unlikely
5 Very unlikely
8 DONT KNOW
9 NO ANSWER
2951
BELVEDOC Label: R believe what doctor said
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 MAYBE
8 DONT KNOW
9 NO ANSWER
2952
DOCINFO Label: Doctor provided enough info
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 MAYBE
8 DONT KNOW
9 NO ANSWER
2953
DOCNOMRI Label: R agree with doc decision to not order mri
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 MAYBE
8 DONT KNOW
9 NO ANSWER
2954
DOCSAT Label: How satisfied R with office visit
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Excellent
2 Very good
3 Good
4 Fair
5 Poor
8 DONT KNOW
9 NO ANSWER
2955
DOCCOSTS Label: How R trust doc put health above costs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Completely
2 Mostly
3 Somewhat
4 A little
5 Not at all
8 DONT KNOW
9 NO ANSWER
2956
DOCSWTCH Label: Would R switch physicians
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 MAYBE
8 DONT KNOW
9 NO ANSWER
2957
INSRCHNG Label: Would R change insurance plans
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 MAYBE
8 DONT KNOW
9 NO ANSWER
2958
SECOPIN Label: Would R seek second opinion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 MAYBE
8 DONT KNOW
9 NO ANSWER
2959
PAIDHOW Label: How are you paid
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Salary
2 By the Hour
3 Earnings from business
4 Piecework
5 By the job/project
6 Wage+ Commission
7 By hour + tips
8 Mileage
9 Salary & Hours combination
10 By day/week
11 By route
12 By client
13 By contract
20 Other
98 DK
99 NA
2960
USUALHRS Label: How many hrs/week do you usually work
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2961
MOSTHRS Label: Most hrs/week worked in past month
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2962
LEASTHRS Label: Fewest hrs/week worked in past month
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
2963
SETHRS Label: How are your working hours decided
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The total number of hours I work each week is decided by my employer with little or no input from me
2 The total number of hours I work each week is decided by my employer but with my input
3 I can decide how many hours I work each week, within certain limits
4 I am entirely free to decide how many hours I work each week
5 How many hours I work a week depends on things outside of my control and outside of my employer’s control
8 DK
9 NA
2964
ADVSCHED Label: How far in advance do you schedule work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 One day or less in advance
2 2 to 3 days in advance
3 4 to 7 days in advance
4 Between 1 and 2 weeks in advance
5 Between 3 and 4 weeks in advance
6 More than 4 weeks in advance
7 My schedule never changes
8 DK
9 NA
98 DON'T KNOW
99 REFUSED
2965
WRKTYPE Label: Work arrangement at main job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INDEPENDENT CONTRACTOR/CONSULTANT/FREELANCE WORKER
2 ON-CALL, WORK ONLY WHEN CALLED TO WORK
3 PAID BY A TEMPORARY AGENCY
4 WORK FOR CONTRACTOR WHO PROVIDES WORKERS/SERVICES
5 REGULAR, PERMANENT EMPLOYEE
8 DONT KNOW
9 NO ANSWER
2966
YEARSJOB Label: Time at current job
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1.00 IAP
.25 LESS THAN 6 MONTHS
.75 6-11.9 MONTHS
98.00 DONT KNOW
99.00 NO ANSWER
2967
WAYPAID Label: How paid in main job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Salaried
2 Paid by the hour
3 Other
4 Commission
5 Self-employed
6 Paid by the job
7 Salary and bonus/commission
8 Tips
98 DONT KNOW
99 NO ANSWER
2968
WRKSCHED Label: Usual work schedule
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Day shift
2 Afternoon shift
3 Night shift
4 Split shift
5 Irregular shift/on-call
6 Rotating shifts
8 DONT KNOW
9 NO ANSWER
2969
MOREDAYS Label: Days per month R work extra hours
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
2970
MUSTWORK Label: Mandatory to work extra hours
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2971
CHNGTME Label: How often R allowed change schedule
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DONT KNOW
9 NO ANSWER
2972
WRKHOME Label: How often R works at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 A few times a year
3 About once a month
4 About once a week
5 More than once a week
6 Worker works mainly at home
8 DONT KNOW
9 NO ANSWER
2973
WHYWKHME Label: Usual reason R work at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Worker wants to work at home
2 Worker has to work at home to keep up with job
3 Other combinations and other reasons
8 DONT KNOW
9 NO ANSWER
2974
FAMWKOFF Label: How hard to take time off
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all hard
2 Not too hard
3 Somewhat hard
4 Very hard
8 DONT KNOW
9 NO ANSWER
2975
WKVSFAM Label: How often job interferes fam life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DONT KNOW
9 NO ANSWER
2976
FAMVSWK Label: How often fam life interfere job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DONT KNOW
9 NO ANSWER
2977
HRSRELAX Label: Hours per day R have to relax
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
2978
SECONDWK Label: R has job other than main
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
2979
LEARNNEW Label: Job requires R to learn new things
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2980
WORKFAST Label: Job requires R to work fast
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2981
WORKDIFF Label: R does numerous things on job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2982
LOTOFSAY Label: R has lot of say in job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2983
WKTOPSAT Label: Satisfaction comes from work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2984
OVERWORK Label: R has too much work to do well
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2985
KNOWWHAT Label: R knows what's expected on job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2986
MYSKILLS Label: Job allows R use of skills
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2987
RESPECT Label: R treated with respect at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2988
TRUSTMAN Label: R trust management at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2989
SAFETYWK Label: Worker safety priority at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2990
SAFEFRST Label: No shortcuts on worker safety
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2991
TEAMSAFE Label: Mgt and employees work together re safety
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2992
SAFEHLTH Label: Safety and health condition good at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2993
PROUDEMP Label: R proud to work for employer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2994
PRODCTIV Label: Work conditions allow productivity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2995
WKSMOOTH Label: Workplace runs in smooth manner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2996
TRDUNION Label: Workers need strong unions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Disagree
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
2997
PARTTEAM Label: R work as part of a team
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, I work as part of a team
2 No, I work mostly on my own
8 DONT KNOW
9 NO ANSWER
2998
WKDECIDE Label: How often R take part in decisions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DONT KNOW
9 NO ANSWER
2999
SETTHNGS Label: How often R set way things done
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DONT KNOW
9 NO ANSWER
3000
TOOFEWWK Label: How often not enough staff
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DONT KNOW
9 NO ANSWER
3001
PROMTEOK Label: R's chances for promotion good
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3002
OPDEVEL Label: Opportunity to develop my abilities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3003
HLPEQUIP Label: Enough help and equip to ge the job done
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3004
HAVEINFO Label: Enough info to get the job done
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3005
WKFREEDM Label: A lot of freedom to decide how to do job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3006
FRINGEOK Label: Fringe benefits are good
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3007
SUPCARES Label: Supervisor concerned about welfare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3008
CONDEMND Label: R free from conflicting demands
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3009
PROMTEFR Label: Promotions are handled fairly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3010
COWRKINT Label: Coworkers take a Personal interest in R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3011
JOBSECOK Label: The job security is good
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3012
SUPHELP Label: Supervisor helpful to R in getting job done
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3013
WRKTIME Label: R has enough time to get the job done
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3014
COWRKHLP Label: Coworkers can be relied on when R needs help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3015
TRAINOPS Label: R have the training opportunities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DONT KNOW
9 NO ANSWER
3016
MANVSEMP Label: Relations bw management and employees
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very good
2 Quite good
3 Neither good nor bad
4 Quite bad
5 Very bad
8 DONT KNOW
9 NO ANSWER
3017
HVYLIFT Label: R do repeated lifting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3018
HANDMOVE Label: R perform forceful hand movements
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3019
WKPRAISE Label: R is likely to be praised by supervisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Maybe
3 No
8 DONT KNOW
9 NO ANSWER
3020
WKBONUS Label: R is likely to get a bonus or pay increase
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Maybe
3 No
8 DONT KNOW
9 NO ANSWER
3021
FAIREARN Label: How fair is what R earn on the job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Much less than you deserve
2 Somewhat less than you deserve
3 About as much as you deserve
4 Somewhat more than you deserve
5 Much more than you deserve
8 DONT KNOW
9 NO ANSWER
3022
RINCBLLS Label: Income alone is enough
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3023
LAIDOFF Label: R was laid off main job last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3024
JOBFIND1 Label: How easy for R to find a same job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very easy to find similar job
2 Somewhat easy to find similar job
3 Not easy at all to find similar job
8 DONT KNOW
9 NO ANSWER
3025
TRYNEWJB Label: How likely R make effort for new job next year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not at all likely
8 DONT KNOW
9 NO ANSWER
3026
WKAGEISM Label: R feels discriminated because of age
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3027
WKRACISM Label: R feels discriminated because of race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3028
WKSEXISM Label: R feels discriminated because of gender
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3029
WKHARSEX Label: R sexually harassed on the job last 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3030
WKHAROTH Label: R threatened on the job last 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3031
HEALTH1 Label: R's health in general
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Excellent
2 Very good
3 Good
4 Fair
5 Poor
8 DONT KNOW
9 NO ANSWER
3032
PHYSHLTH Label: Days of poor physical health past 30 days
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3033
MNTLHLTH Label: Days of poor mental health past 30 days
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3034
HLTHDAYS Label: Days of activity limitation past 30 days
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3035
USEDUP Label: How often during past month R felt used up
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very often
2 Often
3 Sometimes
4 Rarely
5 Never
8 DONT KNOW
9 NO ANSWER
3036
BACKPAIN Label: R had back pain in the past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3037
PAINARMS Label: R had pain in the arms in the past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3038
HURTATWK Label: Number of injuries on the job past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 7 OR MORE
8 DONT KNOW
9 NO ANSWER
3039
SPVTRFAIR Label: Supervisor is fair
Format: F1.0
Measure: Nominal
Display Width: 11
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very true
2 Somewhat true
3 Not too true
4 Not at all true
8 DON'T KNOW
9 No answer
3040
STRREDPG Label: Access to stress management
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DON'T KNOW
9 No answer
3041
PHYEFFRT Label: Rate physical effort
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very hard
2 Hard
3 Somewhat hard
4 Fairly light
5 Very light
8 DON’T KNOW
9 No answer
3042
SLPPRBLM Label: Trouble sleeping last 12 months
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON’T KNOW
9 No answer
3043
SATJOB1 Label: Job satisfaction in general
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very satisfied
2 Somewhat satisfied
3 Not too satisfied
4 Not at all satisfied
8 DONT KNOW
9 NO ANSWER
3044
KNOWSCHD Label: How far in advance know work schedule
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 One week or less
2 Between 1 and 2 weeks
3 Between 3 and 4 weeks
4 4 weeks or more
8 Don't know
9 No answer
3045
USETECH Label: Percentage of time use tech
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
3046
STRESS12 Label: Stress management program last 12 months
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3047
HYPERTEN Label: Told have hypertension or high blood pressure
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3048
ARTHRTIS Label: Told have arthritis or rheumatism
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3049
DIABETES Label: Told have diabetes
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3050
DEPRESS Label: Told have depression
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3051
WEIGHT Label: R weighs how much
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 Don't know
999 No answer
3052
HEIGHT Label: R is how tall
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 Don't know
99 No answer
3053
NTWKHARD Label: Past week not work hard enough
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DK
999 NA
3054
MISSWORK Label: Miss work for health past 30 days
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
3055
CESD1 Label: How much time felt depressed in past wk
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None or almost none of the time
2 Some of the time
3 Most of the time
4 All or almost all of the time
8 DK
9 NA
3056
CESD2 Label: How much time sleep was restless in past wk
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None or almost none of the time
2 Some of the time
3 Most of the time
4 All or almost all of the time
8 DK
9 NA
3057
CESD3 Label: How much time felt happy in past wk
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None or almost none of the time
2 Some of the time
3 Most of the time
4 All or almost all of the time
8 DK
9 NA
3058
CESD4 Label: How much time felt lonely in past wk
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None or almost none of the time
2 Some of the time
3 Most of the time
4 All or almost all of the time
8 DK
9 NA
3059
CESD5 Label: How much time felt sad in past wk
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None or almost none of the time
2 Some of the time
3 Most of the time
4 All or almost all of the time
8 DK
9 NA
3060
WORKFOR Label: R work for whom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Private company
2 Non-profit organization
3 Government or government agency
8 DONT KNOW
9 NO ANSWER
3061
WORKFOR1 Label: R work for whom
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 For-profit company
2 Non-profit or not-for-profit organization
3 Government or government agency
8 DON'T KNOW
9 No answer
3062
OWNSTOCK Label: R has stock in R's company
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No, I work for a company that does not have stock
3 No, my company has stock but I do not own any
4 No, I do not own and do not know if my company has stock
5 I do not know if I own stock in my company
8 DONT KNOW
9 NO ANSWER
3063
STOCKVAL Label: Total dollar value of R's stock
Format: F7.0
Measure: Scale
Display Width: 8
Missing Values: -1; 9999998; 9999999
Value Label
-1 IAP
9999995 OTHER
9999998 DONT KNOW
9999999 NO ANSWER
3064
STOCKOPS Label: R hold any stock options of R's company
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3065
EXTRAPAY Label: Eligible for performance based pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3066
COMPPERF Label: Size of perf based pay depend on profits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3067
DEPTPERF Label: Size of perf based pay depend on workgroup
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3068
INDPERF Label: Size of perf based pay depend on individual
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3069
EXTR2001 Label: Did R receive perf based payment in 2001
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3070
EXTRAVAL Label: Total dollar value of pay in previous year
Format: F7.0
Measure: Scale
Display Width: 8
Missing Values: -1; 9999998; 9999999
Value Label
-1 IAP
9999995 OTHER
9999998 DONT KNOW
9999999 NO ANSWER
3071
EXTRAYR Label: Year of the most recent perf based payments
Format: F4.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DONT KNOW
9999 NO ANSWER
3072
YEARVAL Label: Total dollar value of payments in that year
Format: F7.0
Measure: Scale
Display Width: 8
Missing Values: -1; 9999998; 9999999
Value Label
-1 IAP
9999995 OTHER
9999998 DONT KNOW
9999999 NO ANSWER
3073
SEECOWRK Label: How easy to see whether co-workers working
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 Not at all easy to see
10 Very easy to see
98 DONT KNOW
99 NO ANSWER
3074
COWRKHRD Label: How hard to say how people work at workplace
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 Not at all hard
10 Very hard
98 DONT KNOW
99 NO ANSWER
3075
TALKEMP Label: How likely to talk directly if coworker not work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all likely
2 Not very likely
3 Somewhat likely
4 Very likely
8 DONT KNOW
9 NO ANSWER
3076
TALKSUP Label: How likely to speak supervisor if coworker not w
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 I do not have a supervisor or manager
1 Not at all likely
2 Not very likely
3 Somewhat likely
4 Very likely
8 DONT KNOW
9 NO ANSWER
3077
DONOTHNG Label: How likely to do nothing if coworker not working
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all likely
2 Not very likely
3 Somewhat likely
4 Very likely
8 DONT KNOW
9 NO ANSWER
3078
LASTWKMO Label: What month were you last working
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 JANUARY
2 FEBRUARY
3 MARCH
4 APRIL
5 MAY
6 JUNE
7 JULY
8 AUGUST
9 SEPTEMBER
10 OCTOBER
11 NOVEMBER
12 DECEMBER
98 DONT KNOW
99 NO ANSWER
3079
LASTWKYR Label: What year were you last working
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DONT KNOW
9999 NO ANSWER
3080
EMPATHY1 Label: R have tender feeling for people less fortunate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Does not describe very well
5 Describes very well
8 DONT KNOW
9 NO ANSWER
3081
EMPATHY2 Label: R does not feel very sorry for people having pro
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Does not describe very well
5 Describes very well
8 DONT KNOW
9 NO ANSWER
3082
EMPATHY3 Label: R feels protective towards people taken advantage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Does not describe very well
5 Describes very well
8 DONT KNOW
9 NO ANSWER
3083
EMPATHY4 Label: Others misfortunes do not disturb r
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Does not describe very well
5 Describes very well
8 DONT KNOW
9 NO ANSWER
3084
EMPATHY5 Label: R does not feel pity for someone treated unfair
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Does not describe very well
5 Describes very well
8 DONT KNOW
9 NO ANSWER
3085
EMPATHY6 Label: R often quite touched by things
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Does not describe very well
5 Describes very well
8 DONT KNOW
9 NO ANSWER
3086
EMPATHY7 Label: R describes oneself as a soft-hearted person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Does not describe very well
5 Describes very well
8 DONT KNOW
9 NO ANSWER
3087
GIVBLOOD Label: R donated blood during the past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3088
GIVHMLSS Label: R has given food or money to a homeless person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3089
RETCHNGE Label: R returned money after getting too much change
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3090
CUTAHEAD Label: R allowed a stranger to go ahead of you in line
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3091
VOLCHRTY Label: R done volunteer work for a charity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3092
GIVCHRTY Label: R has given money to a charity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3093
GIVSEAT Label: R offered seat to a stranger during past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3094
HELPAWAY Label: R looked after plant or pet of others while away
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3095
CARRIED Label: R carried a stranger's belongings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3096
DIRECTNS Label: R has given directions to a stranger
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3097
LOANITEM Label: R has let someone borrow a item of some value
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least 2 or 3 times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
3098
SELFLESS Label: R feels like a selfless caring for others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3099
ACCPTOTH Label: R accept others even when they do things wrong
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3100
OTHSHELP Label: People should help less fortunate others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3101
CARESELF Label: Those in need have to take care of themselves
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3102
PEOPTRBL Label: Assisting people in trouble is very important
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3103
SELFFRST Label: People need not overly worry about others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3104
VOLMONTH Label: Volunteer in last month
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
3105
VALGIVEN Label: Total donations past year R and immediate family
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999998 DK
999999 NA
3106
FININD Label: Young should be financially independent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Quite important
3 Somewhat important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
3107
FININD1 Label: Aged should be financially independent
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3108
OWNHH Label: Young should not live with parents
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Quite important
3 Somewhat important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
3109
OWNHH1 Label: Aged should stop living with parents
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3110
EDDONE Label: Young should complete formal schooling
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Quite important
3 Somewhat important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
3111
EDDONE1 Label: Aged should complete formal schooling
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3112
FTWORK Label: Young should be employed full-time
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Quite important
3 Somewhat important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
3113
FTWORK1 Label: Aged should be employed full-time
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3114
SUPFAM Label: Young should be able to support family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Quite important
3 Somewhat important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
3115
SUPFAM1 Label: Aged should be able to support family
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3116
HAVCHLD Label: Young should have child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Quite important
3 Somewhat important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
3117
HAVCHLD1 Label: Aged should have child
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3118
GETMAR Label: Young should get married
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Quite important
3 Somewhat important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
3119
GETMAR1 Label: Aged should get married
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3120
BOYCOTT Label: Have ever boycotted a product past 5 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3121
SIGNPET Label: Have ever signed a petition past 5 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3122
PROTEST Label: Have ever joined a protest rally past 5 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3123
CONOFFCL Label: Have ever contacted an elected official
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3124
GIVCHNG Label: Have given money to group advocating social change
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3125
HLPNEEDY Label: Have ever contributed time to help the needy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3126
PARTTHON Label: Have participated in a walkathon over past 5 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3127
CHLDVIG Label: Vignette asked
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 IAP
3128
CHLDPRB Label: What R think may be wrong with a named youth
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ADHD or ADD
2 Depression
3 Normal
4 Asthma
5 Developmental Puberty
6 Illicit drugs
7 ADHD Symptoms
8 Psychiatric Personality Problems
9 Medical Problems Symptoms
10 Environment Social
11 Other characteristic miscellaneous
97
98 DONT KNOW
99 NO ANSWER
3129
CHLDPROB Label: How serious R consider his or her problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very serious
2 Somewhat serious
3 Not very serious
4 Not at all serious
8 DONT KNOW
9 NO ANSWER
3130
CHLDHLP Label: What should be done to help a named youth
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 97; 99
Value Label
0 IAP
10 Nothing
20 Medical General
21 Doctor
22 Specialist
30 Mental Health General
31 Psychiatrist
32 Social Worker
33 Counselor Therapist
34 Psychologist
40 Family Friends General
41 Negative blaming parenting
42 Positive parenting
50 Assistance from school General
51 Involve teacher
52 Involve school counselor
60 Religion
80 Social extracurricular activity
90 Other help Miscellaneous
97 DK REF
99 NO ANSWER
3131
BADCHAR Label: Situation caused by own bad character
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3132
CHEMBAL Label: Situation by a chemical imbalance in the brain
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3133
STRESSFL Label: Situation caused by stressful circumstances
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3134
GENEPROB Label: Situation caused by a genetic or inherited problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3135
RAISED Label: Situation caused by the way he or she was raised
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3136
VIOLTV Label: Situation caused by watching violent TV
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3137
DISCIPLN Label: Situation caused by lacking discipline in the
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3138
ALLERGIC Label: Situation caused by food or chemical allergies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3139
BETTROWN Label: Situation will improve on its own
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3140
IMPRVDIS Label: Situation will improve with strict discipline
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3141
IMPRVEAT Label: Situation will improve with some changes in diet
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3142
IMPRVMED Label: Situation will improve with medical treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not Very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3143
NEXTDOOR Label: How willing R move next door to child's family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely Willing
2 Probably Willing
3 Probably Unwilling
4 Definitely Unwilling
8 DONT KNOW
9 NO ANSWER
3144
SPENDEVE Label: How willing R spend evening with child's family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely Willing
2 Probably Willing
3 Probably Unwilling
4 Definitely Unwilling
8 DONT KNOW
9 NO ANSWER
3145
CHLDFRND Label: How willing R have children make friends with ch
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely Willing
2 Probably Willing
3 Probably Unwilling
4 Definitely Unwilling
8 DONT KNOW
9 NO ANSWER
3146
CHLDSCH Label: How willing R have child in same class of R's ch
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely Willing
2 Probably Willing
3 Probably Unwilling
4 Definitely Unwilling
8 DONT KNOW
9 NO ANSWER
3147
ADFAM Label: Would R get advice from family if child was R's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3148
ADFAMMED Label: Would R have child be on medication by fam advice
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3149
ADTCH Label: Would R get advice from teachers child if was R's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3150
ADTCHMED Label: Would have child be on med by teachers advice
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3151
ADDOC Label: Would go to a medical doctor if he was R's child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3152
ADDOCMED Label: Would have child be on med by docs advice
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3153
ADCOU Label: Would R go to counselor if child was R's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3154
ADCOUMED Label: Would R have child on med by counseloR's advice
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3155
ADPSY Label: Would R go to a psychiatrist if child was R's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3156
ADPSYMED Label: Would R have child on med by psychiatrists ad
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3157
ADHOS Label: Would R check child into a hospital if was R's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3158
ADHOSMED Label: Would R have child be on med by hospital staff
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not at all Likely
8 DONT KNOW
9 NO ANSWER
3159
FORCEDOC Label: Should child be forced by law to be treated by doc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3160
FORCEMED Label: Should child be forced by law to take a prescription
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3161
FORCEHOS Label: Should child be forced by law to admit to a hosp
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3162
GRWINGUP Label: Is child experiencing normal ups and downs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not Likely at all
8 DONT KNOW
9 NO ANSWER
3163
MNTLILL Label: Is child experiencing a mental illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not Likely at all
8 DONT KNOW
9 NO ANSWER
3164
ILLPHYS Label: Is child experiencing a physical illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not Likely at all
8 DONT KNOW
9 NO ANSWER
3165
VIOLPEOP Label: Would child do something violent toward other
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not Likely at all
8 DONT KNOW
9 NO ANSWER
3166
VIOLSELF Label: Would child do something violent to own self
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very Likely
2 Somewhat Likely
3 Not very Likely
4 Not Likely at all
8 DONT KNOW
9 NO ANSWER
3167
OUTSIDER Label: Getting mental health treatment make child an
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3168
SUFADULT Label: Would child suffer as adult if other learn
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3169
COMKNOWS Label: People in community still know who had mental
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3170
FAILURE Label: Mental treatment for child make parent feel like
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3171
OVRMEDKD Label: Docs are over medicating child with common problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3172
MEDKDNEG Label: Medicating child will have long term negative
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3173
PUTSOFF Label: Psychiatric med only put off dealing with problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3174
TRBLLAW Label: Child with med get into less trouble with the
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3175
MEDSAVTX Label: Govt programs for mental health treatment will
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3176
ZOMBIES Label: Med for behavior problems turn kids into zombies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3177
PRYNTFAM Label: Med just prevent family from working out problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3178
ADHDKNOW Label: What Does R know about ADHD
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never heard of it
2 Not sure/DONT KNOW
3 No answer
4 OTHER
8 DONT KNOW
9 NO ANSWER
3179
ADHDKNW Label: What Does R know about ADHD (verbatim)
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Nothing Don t know
2 Had herad of it Unspecified
4 Medication Ritalin
5 Chemical Biological cause
6 Environment Social Cause
7 Describing symptoms
8 Other
30 Someone else I know has it
31 My child has it
32 I have(had) it
81 Diet based too much sugar
82 Anti-ADHD
99 NO ANSWER
3180
ADHDREAL Label: Is ADHD a real disease
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3181
ADHDCON Label: Children should be given counseling for ADHD
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3182
ADHDMED Label: Children should be given medication to treat ADHD
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3183
MNTLREL Label: Effect of mental health problem on relation with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 became stronger
2 was unchanged
3 became worse
4 ended as a result of the problem
8 DONT KNOW
9 NO ANSWER
3184
MEDSYMPS Label: Med for mental health problem help people
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3185
MEDADDCT Label: Med for mental health problem are addictive
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3186
MEDWEAK Label: Taking medications is a sign of weakness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3187
MEDUNACC Label: Med for mental health problem often have side of
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree Somewhat
3 Disagree Somewhat
4 Strongly Disagree
8 DONT KNOW
9 NO ANSWER
3188
SOLVEOWN Label: R would solve problem on ones own or get advice
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 On own
2 Get advice
3 Both(on own and get advice) depending on problem
4 Religious
5 Research the Problem
6 Talk to a doctor other professional
7 Talk with older people
8 DONT KNOW
9 NO ANSWER
3189
DOC15A Label: Doctor not really care me as a person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 strongly agree
2 agree somewhat
3 neither agree nor disagree
4 disgree somewhat
5 strongly disagree
8 dont know
9 no answer
3190
DOC16A Label: Doctors judgment trusted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 strongly agree
2 agree somewhat
3 neither agree nor disagree
4 disgree somewhat
5 strongly disagree
8 dont know
9 no answer
3191
DOC18A Label: Doctor put medical needs above all other
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 strongly agree
2 agree somewhat
3 neither agree nor disagree
4 disgree somewhat
5 strongly disagree
8 dont know
9 no answer
3192
DOC19A Label: Doctor a real expert in taking care problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 strongly agree
2 agree somewhat
3 neither agree nor disagree
4 disgree somewhat
5 strongly disagree
8 dont know
9 no answer
3193
DOC20A Label: Doctor tell me if a mistake was made
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 strongly agree
2 agree somewhat
3 neither agree nor disagree
4 disgree somewhat
5 strongly disagree
8 dont know
9 no answer
3194
CANINF1 Label: Would use search engine for information on candidate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3195
CANINF2 Label: Would use category directory information on can
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3196
CANINF3 Label: Would use bookMark for information on candidate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3197
CANINF4 Label: Would guess or type site name for information o
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3198
CANINF5 Label: Would seek advice for information on candidate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3199
CANINF6 Label: Would use chat group for information on candida
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3200
CANINF7 Label: Would go to candidate site for information on c
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3201
CANINF8 Label: Would go to politics site for information on ca
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3202
CANINF9 Label: Would go to news site for information on candid
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3203
CANINF10 Label: Would go to portal site for information on candidate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3204
CANINF11 Label: Would go to govt site for information on candid
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3205
CANINF12 Label: Would refuse to answer not sure don't know
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3206
CANINF13 Label: Does R mentioned any specific URL?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO
1 YES
2 Yes, at least one URL is not a .com
8 DONT KNOW
9 NO ANSWER
3207
CANINF14 Label: First site mentioned
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NO SPECIFIC SEARCH ENGINE MENTIONED
1 YAHOO
2 AOL
3 CNN
4 MSN
5 EXCITE
6 GOOGLE
7 WEBFERRET
8 LYCOS
9 ALTAVISTA
10 USATODAY
11 COPERNIC
12 ASKJEEVES
13 PEOPLEFIND.COM
14 ABC
15 MSNBC
16 INFOSEEK GO
17 DOGPILE
18 SNAP
19 METACRAWLER
20 WEBCRAWLER
21 NETSCAPE
22 IWON
23 POLITICS.COM
24 HOMP PAGE SEARCH ENGINE
25 NBC
98 DONT KNOW
99 NO ANSWER
3208
DIFSTAND Label: Some ppl hold standard in workplace that others don?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3209
RPTPROBS Label: Ppl feel free to report problems in workplace
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3210
OTHCREDT Label: Other people take credit for R's work or ideas
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3211
PUTDOWN Label: Ppl at work treat R in a manner putting R down
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3212
LACKINFO Label: Ppl at work fail to give R necessary info
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3213
PERSPACE Label: Ppl at work get in R's Personal space to intimidate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3214
PHYSHARM Label: R have been threatened with physical harm at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3215
ACTUPSET Label: Ppl at work throw things when upset with R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3216
SHOUT Label: Ppl at work shout at R in hostile manner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3217
HOTARGUS Label: Heated arguments occur in workplace
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3218
RELIEDON Label: Ppl at work can be relied on when needs help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TOO TRUE
4 NOT AT ALL TRUE
8 DONT KNOW
9 NA
3219
GDJOBSEC Label: Job security is good
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY TRUE
2 SOMEWHAT TRUE
3 NOT TOO TRUE
4 NOT AT ALL TRUE
8 DONT KNOW
9 NA
3220
TREATRES Label: People are treated with respect
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
3221
LOOKAWAY Label: Ppl look the other way when others are threatened
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
3222
SKIPWORK Label: How often R stayed at home or leave work early
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 DONT KNOW
9 NA
3223
NUMEMPS Label: Number of employee for the self-employed
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
3224
IGNORWK Label: Feel ignored at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON'T KNOW
9 No answer
3225
RUMORWK Label: Rumors or gossip about R at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON'T KNOW
9 No answer
3226
JOKESWK Label: Target of derogatory comments or jokes at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON'T KNOW
9 No answer
3227
EHARASWK Label: Harassed electronically at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON'T KNOW
9 No answer
3228
RUDEWK Label: Treated rudely at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON'T KNOW
9 No answer
3229
LIEDCWKR Label: Lied to at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON'T KNOW
9 No answer
3230
DENYRAIS Label: Denied raise without reason at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Rarely
4 Never
8 DON'T KNOW
9 No answer
3231
WKBHVRS Label: Employee doing these things at work to R
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A co-worker
2 Your supervisor or boss
3 A customer/client/patient
8 DON'T KNOW
9 No answer
3232
WKRSPNS Label: Response to misbehavior from coworkers
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Did nothing (ignored it)
2 Talked to co-workers or other people at work
3 Talked to family or friends
4 Reported the incident to management or those higher up
5 Reported the incident to the union
6 Confronted the person (s) engaging in the behaviors
7 Filed a formal complaint or grievance about the behavior or experiences
8 Did not know what to do
98 DON'T KNOW
99 No answer
3233
NATBORN Label: What country R were born in
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Mexico
2 Canada
3 China
4 Colombia
5 Cuba
6 Germany
7 Guatemala
8 Haiti
9 Honduras
10 India
11 Jamaica
12 Korea
13 Philippines
14 Poland
15 OTHER
16 Trinidad
17 Antigua
18 Pakistan
19 Belize
20 Guyana
21 Egypt
22 Moldovia
23 Brazil
24 Portugal
25 Panama
26 Iran
27 Ghana
28 Bangladesh
29 Puerto Rico
30 Turkey
31 Italy
32 El Salvidor
33 Greece
34 Ecuador
35 England
36 Thailand
37 Peru
38 Australia
39 Israel
40 Netherlands
41 Macedonia
42 France
43 Argentina
44 Lebanon
45 Russia
46 Cambodia
47 Venezuela
48 Iraq
49 ROMANIA
50 Czech Republic
51 Nicaragua
52 Arabic
53 Gambia
54 West Africa
55 Barbados
56 South Africa
57 Ukraine
58 Hungary
59 Eritrea
60 Ireland
61 Laos
62 Vietnam
63 Senegal
64 Sudan
65 Nigeria
66 Bosnia
67 Uruguay
68 Malaysia
69 Armenia
70 Congo
71 Japan
72 Dutch East Indies
73 Indonesia
74 Africa
75 JORDAN
98 DONT KNOW
99 NO ANSWER
3234
BORNHOME Label: What kind of house R's family lived at birth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BOX A
2 BOX B
3 BOX C
4 OTHER
8 DONT KNOW
9 NA
3235
TRAVELUS Label: Transportation R took when travelling to us
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BOX A
2 BOX B
3 BOX C
4 OTHER
8 DONT KNOW
9 NA
3236
IMMSTATS Label: R's current immigration status right now
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BOX A
2 BOX B
3 BOX C
4 OTHER
8 DONT KNOW
9 NA
3237
RUNDRSTD Label: Did R appear to understand 3-box answer format
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 OTHER
8 DONT KNOW
9 NA
3238
ROBJECT Label: Did R object to or delay answering card c4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, OBJECTED VERBALLY
2 YES, DELAYED, KEPT SILENT FOR A WHILE
3 NO
4 OTHER
8 DONT KNOW
9 NA
3239
GENEVIG1 Label: Vignette number used
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 IAP
3240
GENEVIG2 Label: Vignette order used
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 IAP
3241
GENENVO1 Label: Gene or learning?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NO ANSWER
3242
GENENVO2 Label: Gene or learning?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NO ANSWER
3243
GENENVO3 Label: Gene or learning?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NO ANSWER
3244
GENENVO4 Label: Gene or learning?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NO ANSWER
3245
SATSELF Label: On the whole I am satisfied with myself
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3246
AFAILURE Label: I am inclined to feel I am a failure
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3247
SLFRSPCT Label: I wish i could have more respect for myself
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3248
OFWORTH Label: I am a person of worth at least equal to others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3249
NOGOOD Label: At times I think I am no good at all
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3250
OPTIMIST Label: I am always optimistic about my future
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3251
PESSIMST Label: I hardly ever expect things to go my way
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3252
NOTCOUNT Label: I rarely count on good things happening to me
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3253
MOREGOOD Label: I expect more good things to happen to me than bad
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3254
OWNDOING Label: Degree of influence over what happens to me
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I HAVE LITTLE INFLUENCE OVER THINGS THAT HAPPENS TO ME
2 WHAT HAPPENS TO ME IS LARGELY MY OWN DOING
8 DONT KNOW
9 REFUSED
3255
GENEEXPS Label: Genes or experiences in determining Personality
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GENES PLAY MAJOR ROLE IN DETERMINING PERSONALITY
2 IT IS EXPERIENCE THAT DETERMINE PERSONALITY
8 DONT KNOW
9 REFUSED
3256
DEPNDABL Label: R is a dependable person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 a very good description
2 a good description
3 a fair description
4 not a very good description
5 not a good description at all
8 DONT KNOW
9 REFUSED
3257
SADBLUE Label: R is a person who feels sad and blue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 a very good description
2 a good description
3 a fair description
4 not a very good description
5 not a good description at all
8 DONT KNOW
9 REFUSED
3258
ATHLETIC Label: R is an athletic person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 a very good description
2 a good description
3 a fair description
4 not a very good description
5 not a good description at all
8 DONT KNOW
9 REFUSED
3259
KINDPERS Label: R is a kind person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 a very good description
2 a good description
3 a fair description
4 not a very good description
5 not a good description at all
8 DONT KNOW
9 REFUSED
3260
SELFISH Label: R is a selfish person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 a very good description
2 a good description
3 a fair description
4 not a very good description
5 not a good description at all
8 DONT KNOW
9 REFUSED
3261
INTRWGHT Label: Interview assessment of R's weight
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BELOW AVERAGE
2 AVERAGE
3 SOMEWHAT ABOVE AVERAGE
4 CONSIDERABLY ABOVE AVERAGE
8 DONT KNOW
9 NO ANSWER
3262
AGAPE1 Label: Would suffer than let the one R love suffer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE SOMEWHAT
5 DISAGREE STRONGLY
8 DONT KNOW
9 NA
3263
AGAPE2 Label: Not happy unless the one s happiness is before R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE SOMEWHAT
5 DISAGREE STRONGLY
8 DONT KNOW
9 NA
3264
AGAPE3 Label: Willing to sacrifice wish to let the one achieve
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE SOMEWHAT
5 DISAGREE STRONGLY
8 DONT KNOW
9 NA
3265
AGAPE4 Label: Would endure all things for the one R love
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE SOMEWHAT
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE SOMEWHAT
5 DISAGREE STRONGLY
8 DONT KNOW
9 NA
3266
HGUNLAW Label: Should be more restrictions on handgun
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 DONT KNOW
9 NA
3267
HGUNCRIM Label: More restrictions on handgun decrease crime
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MORE RESTRICTION WOULD DECREASE CRIME
2 MORE RESTRICTION WOULD INCREASE CRIME
3 UNSURE
8 DONT KNOW
9 NA
3268
CRIMUP Label: What if more restrictions increase crime
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WOULD CHANGE MIND AND OPPOSE MORE RESTRICTIONS
2 WOULD STILL SUPPORT MORE RESTRICTIONS
8 DONT KNOW
9 NA
3269
CRIMDOWN Label: What if more restrictions reduce crime
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WOULD CHANGE MIND AND SUPPORT MORE RESTRICTIONS
2 WOULD STILL OPPOSE MORE RESTRICTIONS
8 DONT KNOW
9 NA
3270
NUMRELEX Label: Number of real experience that changed R's life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
7 Seven or more
8 1 or more experience, DK
9 No Answer
3271
AGERELEX Label: Age of R at religious experience
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3272
CHNGREL Label: R changed religion because of experience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
3273
NUMRBORN Label: How many born-again experience R had
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
8 1 or more experience, DK
9 NO ANSWER
3274
AGERBORN Label: Age of R at born-again experience
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3275
CHNGRBRN Label: R changed religion because of experience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NA
3276
ENTITY Label: Entity mentions in religious change
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
98 DONT KNOW
99 NO ANSWER
3277
EXPCHNG1 Label: Cause of religious change1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3278
EXPCHNG2 Label: Cause of religious change2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3279
EXPCHNG3 Label: Cause of religious change3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3280
WHYCHNG1 Label: Religious change experience1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3281
WHYCHNG2 Label: Religious change experience2
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3282
WHYCHNG3 Label: Religious change experience3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3283
CHANGED1 Label: Life changes from religious change1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3284
CHANGED2 Label: Life changes from religious change2
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3285
CHANGED3 Label: Life changes from religious change3
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
96 NO MENTION
97 NOTHING SPECIAL HAPPENED
98 DONT KNOW
99 NO ASNWER
3286
RELALT1 Label: Rel change altered R's outlook on life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL
7 A GREAT DEAL
8 DONT KNOW
9 REFUSED
3287
RELALT2 Label: Rel change made R sense life was meaningful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL
7 A GREAT DEAL
8 DONT KNOW
9 REFUSED
3288
RELALT3 Label: Rel change changed goals in life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL
7 A GREAT DEAL
8 DONT KNOW
9 REFUSED
3289
RELALT4 Label: Rel change positively affected relation with others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL
7 A GREAT DEAL
8 DONT KNOW
9 REFUSED
3290
RELALT5 Label: Rel change changed day to day activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL
7 A GREAT DEAL
8 DONT KNOW
9 REFUSED
3291
RELALT6 Label: Rel change changed life overall
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT AT ALL
7 A GREAT DEAL
8 DONT KNOW
9 REFUSED
3292
ALLOFLFE Label: Experience connection to all of life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3293
JOYLIFTS Label: Feel joy during worship
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3294
RELSPRT1 Label: Find strength religion or spirituality
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3295
RELSPRT2 Label: Find comfort in religion or spirituality
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3296
GODHELP Label: Ask for gods help in daily activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3297
GODGUIDE Label: Feel guided by god in daily activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3298
GODLVDIR Label: Feel gods love for R directly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3299
GODLVOTH Label: Feel gods love for me through others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3300
BLESSNGS Label: Feel thankful for R's blessings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3301
CLOSRGOD Label: Desire to be closer to god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Many times a day
2 Every day
3 Most days
4 Some days
5 Once in a while
6 Never or almost never
8 DONT KNOW
9 NO ANSWER
3302
GODCLOSE Label: How close to god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL CLOSE
2 SOMEWHAT CLOSE
3 VERY CLOSE
4 AS CLOSE AS POSSIBLE
8 DONT KNOW
9 NO ANSWER
3303
IDOLS Label: Catholics are idols
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3304
ROSARIES Label: Catholic rosaries are superstitious
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3305
NOTTHINK Label: Catholics are not permitted to think
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DONT KNOW
9 NO ANSWER
3306
EVDRINK Label: Ever drank any alcoholic beverage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3307
DRINKYR Label: How regularly R drink over last 12 months
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in those 12 months
2 1 to 3 times in 12 months
3 4 to 7 times in 12 months
4 8 to 11 times in 12 months
5 1 to 3 times a month
6 Once or twice a week
7 3 to 4 times a week
8 5 times a week or more
98 DONT KNOW
99 NO ANSWER
3308
DRINKDAY Label: How many drinks R have on a day when drinking
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NO ANSWER
3309
DRINK6UP Label: How often R has 6 or more drinks in a day
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in those 12 months
2 1 to 3 times in 12 months
3 4 to 7 times in 12 months
4 8 to 11 times in 12 months
5 1 to 3 times a month
6 Once or twice a week
7 3 to 4 times a week
8 5 times a week or more
98 DONT KNOW
99 NO ANSWER
3310
DRINKMAX Label: Largest number of drinks in a day last 12 months
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 DID NOT DRINK AT ALL IN THE LAST 12 MONTHS
1 at least a sip, but less than one full drink
2 at least 1, but less than 3 drinks
3 at least 3, but less than 5 drinks
4 at least 5, but less than 8 drinks
5 at least 8, but less than 12 drinks
6 at least 12, but less than 20 drinks
7 20 or more drinks in a single day
98 DONT KNOW
99 NA
3311
DRINK12 Label: How often at least 12 but less than 20 drinks
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in the last 12 months
2 Once in the last 12 months
3 Twice in the last 12 months
4 Three to six times in the last 12 months
5 Seven to eleven times in the last 12 months
6 One to three times a month
7 Once or twice a week
8 Three or four times a week
9 Every day or nearly every day
98 DONT KNOW
99 NO ANSWER
3312
DRINK8 Label: How often at least 8 but less than 12 drinks
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in the last 12 months
2 Once in the last 12 months
3 Twice in the last 12 months
4 Three to six times in the last 12 months
5 Seven to eleven times in the last 12 months
6 One to three times a month
7 Once or twice a week
8 Three or four times a week
9 Every day or nearly every day
98 DONT KNOW
99 NO ANSWER
3313
DRINK5 Label: How often at least 5 but less than 8 drinks
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in the last 12 months
2 Once in the last 12 months
3 Twice in the last 12 months
4 Three to six times in the last 12 months
5 Seven to eleven times in the last 12 months
6 One to three times a month
7 Once or twice a week
8 Three or four times a week
9 Every day or nearly every day
98 DONT KNOW
99 NO ANSWER
3314
DRINK3 Label: How often at least 3 but less than 5 drinks
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in the last 12 months
2 Once in the last 12 months
3 Twice in the last 12 months
4 Three to six times in the last 12 months
5 Seven to eleven times in the last 12 months
6 One to three times a month
7 Once or twice a week
8 Three or four times a week
9 Every day or nearly every day
98 DONT KNOW
99 NO ANSWER
3315
DRINK1 Label: How often at least 1 but less than 3 drinks
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in the last 12 months
2 Once in the last 12 months
3 Twice in the last 12 months
4 Three to six times in the last 12 months
5 Seven to eleven times in the last 12 months
6 One to three times a month
7 Once or twice a week
8 Three or four times a week
9 Every day or nearly every day
98 DONT KNOW
99 NO ANSWER
3316
DRINKMIN Label: How often at least a sip but less than one full drink
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never in the last 12 months
2 Once in the last 12 months
3 Twice in the last 12 months
4 Three to six times in the last 12 months
5 Seven to eleven times in the last 12 months
6 One to three times a month
7 Once or twice a week
8 Three or four times a week
9 Every day or nearly every day
98 DONT KNOW
99 NO ANSWER
3317
CHURCHTX Label: Membership in church-related groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3318
INFRMGRP Label: Any activities with the same group of ppl regularly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3319
TYPFRAT Label: R belongs to more than one fraternal groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3320
TYPSERV Label: R belongs to more than one service clubs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3321
TYPVET Label: R belongs to more than one veterans groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3322
TYPPOLIT Label: R belongs to more than one political clubs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3323
TYPUNION Label: R belongs to more than one labor unions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3324
TYPSPORT Label: R belongs to more than one sports groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3325
TYPYOUTH Label: R belongs to more than one youth groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3326
TYPSCHL Label: R belongs to more than one school service groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3327
TYPHOBBY Label: R belongs to more than one hobby clubs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3328
TYPGREEK Label: R belongs to more than one school fraternities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3329
TYPNAT Label: R belongs to more than one nationality groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3330
TYPFARM Label: R belongs to more than one farm organizations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3331
TYPLIT Label: R belongs to more than one literary groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3332
TYPPROF Label: R belongs to more than one professional societies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3333
TYPCHURH Label: R belongs to more than one church affiliate groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3334
TYPOTHER Label: R belongs to more than one other groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3335
TYPINFRM Label: R belongs to more than one informal groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3336
NUMFRAT Label: How many R belongs to fraternal groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3337
NUMSERV Label: How many R belongs to service clubs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3338
NUMVET Label: How many R belongs to veterans groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3339
NUMPOLIT Label: How many R belongs to political clubs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3340
NUMUNION Label: How many R belongs to labor unions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3341
NUMSPORT Label: How many R belongs to sports groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3342
NUMYOUTH Label: How many R belongs to youth groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3343
NUMSCHL Label: How many R belongs to school service groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3344
NUMHOBBY Label: How many R belongs to hobby clubs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3345
NUMGREEK Label: How many R belongs to school fraternities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3346
NUMNAT Label: How many R belongs to nationality groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3347
NUMFARM Label: How many R belongs to farm organizations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3348
NUMLIT Label: How many R belongs to literary groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3349
NUMPROF Label: How many R belongs to professional societies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3350
NUMCHURH Label: How many R belongs to church affiliate groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3351
NUMOTHER Label: How many R belongs to other groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3352
NUMINFRM Label: How many R belongs to informal groups
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DONT KNOW
9 NO ANSWER
3353
YRFRAT1 Label: How many yrs R been a member of fraternal groups1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3354
YRFRAT2 Label: How many yrs R been a member of fraternal groups2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3355
YRFRAT3 Label: How many yrs R been a member of fraternal groups3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3356
YRFRAT4 Label: How many yrs R been a member of fraternal groups4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3357
YRSERV1 Label: How many years R been a member of service club1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3358
YRSERV2 Label: How many years R been a member of service club2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3359
YRSERV3 Label: How many years R been a member of service club3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3360
YRSERV4 Label: How many years R been a member of service club4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3361
YRSERV5 Label: How many years R been a member of service club5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3362
YRSERV6 Label: How many years R been a member of service club6
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3363
YRSERV7 Label: How many years R been a member of service club7
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3364
YRSERV8 Label: How many years R been a member of service club8
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3365
YRVET1 Label: How many years R been a member of veteran groups1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3366
YRVET2 Label: How many years R been a member of veteran groups2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3367
YRVET3 Label: How many years R been a member of veteran groups3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3368
YRVET4 Label: How many years R been a member of veteran groups4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3369
YRVET5 Label: How many years R been a member of veteran groups5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3370
YRPOLIT1 Label: How many years R been a member of political club1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3371
YRPOLIT2 Label: How many years R been a member of political club2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3372
YRPOLIT3 Label: How many years R been a member of political club3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3373
YRUNION1 Label: How many years R born a member of labor union1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3374
YRUNION2 Label: How many years R born a member of labor union2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3375
YRUNION3 Label: How many years R born a member of labor union3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3376
YRUNION4 Label: How many years R born a member of labor union4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3377
YRSPORT1 Label: How many years R born a member of sports groups1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3378
YRSPORT2 Label: How many years R born a member of sports groups2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3379
YRSPORT3 Label: How many years R born a member of sports groups3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3380
YRSPORT4 Label: How many years R born a member of sports groups4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3381
YRSPORT5 Label: How many years R born a member of sports groups5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3382
YRSPORT6 Label: How many years R born a member of sports groups6
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3383
YRYOUTH1 Label: How many years R born a member of youth groups1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3384
YRYOUTH2 Label: How many years R born a member of youth groups2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3385
YRYOUTH3 Label: How many years R born a member of youth groups3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3386
YRYOUTH4 Label: How many years R born a member of youth groups4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3387
YRYOUTH5 Label: How many years R born a member of youth groups5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3388
YRSCHL1 Label: How many years R born a member of school service group1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3389
YRSCHL2 Label: How many years R born a member of school service group2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3390
YRSCHL3 Label: How many years R born a member of school service group3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3391
YRSCHL4 Label: How many years R born a member of school service group4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3392
YRHOBBY1 Label: How many years R born a member of hobby club1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3393
YRHOBBY2 Label: How many years R born a member of hobby club1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3394
YRHOBBY3 Label: How many years R born a member of hobby club1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3395
YRGREEK1 Label: How many years R born a member of school fraternity1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3396
YRGREEK2 Label: How many years R born a member of school fraternity2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3397
YRGREEK3 Label: How many years R born a member of school fraternity3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3398
YRNAT1 Label: How many years R born a member of national group1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3399
YRNAT2 Label: How many years R born a member of national group2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3400
YRNAT3 Label: How many years R born a member of national group3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3401
YRFARM1 Label: How many years R born a member of farm organization1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3402
YRFARM2 Label: How many years R born a member of farm organization2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3403
YRFARM3 Label: How many years R born a member of farm organization3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3404
YRLIT1 Label: How many years R born a member of literary group1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3405
YRLIT2 Label: How many years R born a member of literary group2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3406
YRLIT3 Label: How many years R born a member of literary group3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3407
YRLIT4 Label: How many years R born a member of literary group4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3408
YRPROF1 Label: How many years R born a member of professional society1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3409
YRPROF2 Label: How many years R born a member of professional society2
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3410
YRPROF3 Label: How many years R born a member of professional society3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3411
YRPROF4 Label: How many years R born a member of professional society4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3412
YRPROF5 Label: How many years R born a member of professional society5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3413
YRPROF6 Label: How many years R born a member of professional society6
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3414
YRCHURH1 Label: How many years R born a member of church group1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3415
YRCHURH2 Label: How many years R born a member of church group2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3416
YRCHURH3 Label: How many years R born a member of church group3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3417
YRCHURH4 Label: How many years R born a member of church group4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3418
YRCHURH5 Label: How many years R born a member of church group5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3419
YRCHURH6 Label: How many years R born a member of church group6
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3420
YROTHER1 Label: How many years R born a member of other group1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3421
YROTHER2 Label: How many years R born a member of other group2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3422
YROTHER3 Label: How many years R born a member of other group3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3423
YROTHER4 Label: How many years R born a member of other group4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3424
YROTHER5 Label: How many years R born a member of other group5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3425
YRINFRM1 Label: How many years R born a member of informal group1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3426
YRINFRM2 Label: How many years R born a member of informal group2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3427
YRINFRM3 Label: How many years R born a member of informal group3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3428
YRINFRM4 Label: How many years R born a member of informal group4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3429
YRINFRM5 Label: How many years R born a member of informal group5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3430
MTFRAT1 Label: How many years R born a member of fraternity group1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3431
MTFRAT2 Label: How many years R born a member of fraternity group2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3432
MTFRAT3 Label: How many years R born a member of fraternity group3
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3433
MTFRAT4 Label: How many years R born a member of fraternity group4
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3434
MTSERV1 Label: Service club1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3435
MTSERV2 Label: Service club2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3436
MTSERV3 Label: Service club3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3437
MTSERV4 Label: Service club4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3438
MTSERV5 Label: Service club5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3439
MTSERV6 Label: Service club6 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3440
MTSERV7 Label: Service club7 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3441
MTSERV8 Label: Service club8 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3442
MTVET1 Label: Veteran group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3443
MTVET2 Label: Veteran group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3444
MTVET3 Label: Veteran group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3445
MTVET4 Label: Veteran group4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3446
MTVET5 Label: Veteran group5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3447
MTPOLIT1 Label: Political club1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3448
MTPOLIT2 Label: Political club2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3449
MTPOLIT3 Label: Political club3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3450
MTUNION1 Label: Labor union1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3451
MTUNION2 Label: Labor union2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3452
MTUNION3 Label: Labor union3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3453
MTUNION4 Label: Labor union4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3454
MTSPORT1 Label: Sport club1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3455
MTSPORT2 Label: Sport club2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3456
MTSPORT3 Label: Sport club3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3457
MTSPORT4 Label: Sport club4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3458
MTSPORT5 Label: Sport club5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3459
MTSPORT6 Label: Sport club6 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3460
MTYOUTH1 Label: Youth group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3461
MTYOUTH2 Label: Youth group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3462
MTYOUTH3 Label: Youth group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3463
MTYOUTH4 Label: Youth group4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3464
MTYOUTH5 Label: Youth group5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3465
MTSCHL1 Label: School service group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3466
MTSCHL2 Label: School service group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3467
MTSCHL3 Label: School service group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3468
MTSCHL4 Label: School service group4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3469
MTHOBBY1 Label: Hobby club1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3470
MTHOBBY2 Label: Hobby club2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3471
MTHOBBY3 Label: Hobby club3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3472
MTGREEK1 Label: School frarternity1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3473
MTGREEK2 Label: School frarternity2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3474
MTGREEK3 Label: School frarternity3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3475
MTNAT1 Label: Nationality group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3476
MTNAT2 Label: Nationality group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3477
MTNAT3 Label: Nationality group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3478
MTFARM1 Label: Farm organization1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3479
MTFARM2 Label: Farm organization2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3480
MTFARM3 Label: Farm organization3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3481
MTLIT1 Label: Military group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3482
MTLIT2 Label: Military group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3483
MTLIT3 Label: Military group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3484
MTLIT4 Label: Military group4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3485
MTPROF1 Label: Professional society1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3486
MTPROF2 Label: Professional society2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3487
MTPROF3 Label: Professional society3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3488
MTPROF4 Label: Professional society4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3489
MTPROF5 Label: Professional society5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3490
MTPROF6 Label: Professional society6 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3491
MTCHURH1 Label: Church group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3492
MTCHURH2 Label: Church group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3493
MTCHURH3 Label: Church group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3494
MTCHURH4 Label: Church group4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3495
MTCHURH5 Label: Church group5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3496
MTCHURH6 Label: Church group6 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3497
MTOTHER1 Label: Other group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3498
MTOTHER2 Label: Other group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3499
MTOTHER3 Label: Other group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3500
MTOTHER4 Label: Other group4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3501
MTOTHER5 Label: Other group5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3502
MTINFRM1 Label: Informal group1 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3503
MTINFRM2 Label: Informal group2 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3504
MTINFRM3 Label: Informal group3 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3505
MTINFRM4 Label: Informal group4 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3506
MTINFRM5 Label: Informal group5 meets in this area
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3507
GRPBOTH1 Label: Both belong to the same group on the list
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3508
GRPBOTH2 Label: Both belong to the same group on the list
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3509
GRPBOTH3 Label: Both belong to the same group on the list
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3510
GRPBOTH4 Label: Both belong to the same group on the list
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3511
GRPBOTH5 Label: Both belong to the same group on the list
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
3512
FRSTMET1 Label: R first met the named alter in the group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ONE OF THESE GROUPS
2 NO, SOMEWHERE ELSE
8 DONT KNOW
9 NO ANSWER
3513
FRSTMET2 Label: R first met the named alter in the group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ONE OF THESE GROUPS
2 NO, SOMEWHERE ELSE
8 DONT KNOW
9 NO ANSWER
3514
FRSTMET3 Label: R first met the named alter in the group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ONE OF THESE GROUPS
2 NO, SOMEWHERE ELSE
8 DONT KNOW
9 NO ANSWER
3515
FRSTMET4 Label: R first met the named alter in the group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ONE OF THESE GROUPS
2 NO, SOMEWHERE ELSE
8 DONT KNOW
9 NO ANSWER
3516
FRSTMET5 Label: R first met the named alter in the group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ONE OF THESE GROUPS
2 NO, SOMEWHERE ELSE
8 DONT KNOW
9 NO ANSWER
3517
YRSKWN1 Label: Years R has known the named1
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3518
YRSKWN2 Label: Years R has known the named2
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3519
YRSKWN3 Label: Years R has known the named3
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3520
YRSKWN4 Label: Years R has known the named4
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3521
YRSKWN5 Label: Years R has known the named5
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
3522
RELNEG Label: Any turning point when less committed to religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3523
NEWSFROM Label: Main source of information about events in the news
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Newspapers
2 Magazines
3 The Internet
4 Books Other printed material
5 TV
6 Radio
7 Government agencies
8 Family
9 Friends Colleagues
10 Other
98 DONT KNOW
99 NO ANSWER
3524
SCIFROM Label: Main source of information about science and technology
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Newspapers
2 Magazines
3 The Internet
4 Books Other printed material
5 TV
6 Radio
7 Government agencies
8 Family
9 Friends Colleagues
10 Other
11 Ted Talks
98 DONT KNOW
99 NO ANSWER
3525
SEEKSCI Label: Probable source of information about scientific issues
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Newspapers
2 Magazines
3 The Internet
4 Books Other printed material
5 TV
6 Radio
7 Government agencies
8 Family
9 Friends Colleagues
10 Library
11 Other
98 DONT KNOW
99 NO ANSWER
3526
NEXTGEN Label: Science & tech. give more opportunities to next generation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NO ANSWER
3527
TOOFAST Label: Science makes our way of life change too fast
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NO ANSWER
3528
BETTRLFE Label: Science makes our lives better
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 Don't know
9 No answer
3529
ADVFRONT Label: Sci Rsch is necessary and should be supported by federal govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NO ANSWER
3530
SCISPEC Label: Science is too concerned with theory and speculation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NO ANSWER
3531
LEADSCI Label: Shld pay attntn only to theory accepted by leading scientists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NO ANSWER
3532
WHICHSCI Label: Industry scientists less reliable than univeR'sity scientists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NO ANSWER
3533
ASTROLGY Label: Ever read a horoscope or Personal astrology report
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3534
ASTROSCI Label: Astrology is scientific
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Sort of scientific
3 Not at all scientific
8 DONT KNOW
9 NO ANSWER
3535
SCIBNFTS Label: Benefits of sci research outweigh harmful results
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Benefits greater
2 ABOUT EQUAL IF VOLUNTEERED
3 Harmful results greater
8 DONT KNOW
9 NO ANSWER
3536
BALPOS Label: Sci research is strongly in favor of benefits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly in favor
2 Slightly in favor
8 DONT KNOW
9 NO ANSWER
3537
BALNEG Label: Sci research is strongly in favor of harmful results
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly in favor
2 Slightly in favor
8 DONT KNOW
9 NO ANSWER
3538
SCISTUDY Label: R has clear understanding of scientific study
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Clear understanding
2 General sense
3 Little understanding
8 DONT KNOW
9 NO ANSWER
3539
SCITEXT Label: What it means to R to study scientifically
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Formulation of Theories Test Hypotheses
2 Do experiments Control Group
3 Rigorous Systematic Comparison
4 Measurement
5 Classification
6 Redundancies Incorrect
8 Don t Know Uncodeable
9 No Answer Blank
3540
EXPDESGN Label: Better way to test drug btw control and non-control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 All 1000 get the drug
2 500 get the drug 500 dont
8 DONT KNOW
9 NO ANSWER
3541
EXPTEXT Label: Why is it better to test drug this way
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9; 98
Value Label
0 IAP
1 Correct Control Group
2 Correct Vague Reason
3 Correct Wrong Reason
4 Correct Don t Know
5 Wrong Reservations about Control Group
6 Wrong Reservations about Sample
7 Wrong Other Reason
8 Wrong Don t Know
9 NO ANSWER
98 Uncodeable
99 Blank
3542
ODDS1 Label: Test of knowledge about probablity1
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3543
ODDS2 Label: Test of knowledge about probablity2
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3544
HOTCORE Label: Sci knowledge: the center of earth is very hot
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3545
RADIOACT Label: Sci knowledge: allradioactivity is man-made
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3546
BOYORGRL Label: Sci knowledge: father gene decides sex of baby
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3547
LASERS Label: Sci knowledge: laseR's work by focusing sound waves
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3548
ELECTRON Label: Sci knowledge: electrons are smaller than atoms
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3549
VIRUSES Label: Sci knowledge: antibiotics kill viruses as well as bacteria
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3550
BIGBANG Label: Sci knowledge: the univeR'se began with a huge explosion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3551
BIGBANG1 Label: Universe began with a big explosion: true or false
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TRUE
2 FALSE
8 DON'T KNOW
9 No answer
3552
BIGBANG2 Label: Universe expanding since it began: true or false
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3553
CONDRIFT Label: Sci knowledge: the continents have been moving
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3554
EVOLVED Label: Sci knowledge: human beings developed from animals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3555
EVOLVED1 Label: Humans developed from earlier species: true or false
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TRUE
2 FALSE
8 DON'T KNOW
9 No answer
3556
EVOLVED2 Label: Elephants evolved from earlier species: true or false
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DK
9 NA
3557
EARTHSUN Label: Sci knowledge: the earth goes around the sun
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Earth around sun
2 Sun around earth
8 DONT KNOW
9 NO ANSWER
3558
SOLARREV Label: Sci knowledge: how long the earth goes around the sun
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 One day
2 One month
3 One year
4 OTHER TIME PERIOD IF VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3559
TOMATOES Label: Regular tomatoes no genes
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DON'T KNOW
9 No answer
3560
INTRHOME Label: Internet access in R's home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3561
COLDEG1 Label: The highest degree R have earned
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ASSOCIATE'S
2 BACHELOR'S
3 MASTER'S
4 MBA
5 LAW
6 PHD
7 MD
8 OTHER
98 DONT KNOW
99 NO ANSWER
3562
MAJORCOL Label: The field of degree R earned
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ACCOUNTING/BOOKKEEPING
2 ADVERTISING
3 AGRICULTURE
4 ALLIED HEALTH
5 ANTHROPOLGY
6 ARCHITECTURE
7 ART
8 BIOLOGY
9 BUSINESS ADMINISTRATION
11 CHEMISTRY
12 COMMUNICATIONS/SPEECH
13 COMM. DISORDERS
14 COMPUTER SCIENCE
15 DENTISTRY
16 EDUCATION
17 ECONOMICS
18 ENGINEERING
19 ENGLISH
20 FINANCE
21 FOREIGN LANGUAGE
22 FORESTRY
23 GEOGRAPHY
24 GEOLOGY
25 HISTORY
26 HOME ECONOMICS
27 INDUSTRY & TECHN
28 JOURNALISM
29 LAW
30 LAW ENFORCEMENT
31 LIBRARY SCIENCE
32 MARKETING
33 MATHMATICS
34 MEDICINE
35 MUSIC
36 NURSING
37 OPTOMETRY
38 PHARMACY
39 PHILOSOPHY
40 PHYSICAL EDUCATION
41 PHYSICS
42 PSYCHOLOGY
43 POLITICAL SCIENCE
44 SOCOLOGY
45 SPECIAL EDUCATION
46 THEATER ARTS
47 THEOLOGY
48 VETERINARY MEDICINE
49 LIBERAL ARTS
50 OTHER
51 GENERAL SCIENCES
52 SOCIAL WORK
53 GENERAL STUDIES
54 OTHER VOCATIONAL
55 HEALTH
56 Industrial relations
57 Child development
58 Food science/nutrition/culinary arts
59 Environment science/studies
60 Social sciences
61 Human services
62 Visual arts/graphic design
63 Fine arts
64 Humanities
65 Ethnic studies
66 Educational administration
67 TV, film
68 Aviation, aeronatics
69 Statistics
70 Criminology/Criminal Justice
71 Administrative Science/Public Administration
72 Electronics
73 Urban and Regional Planning
74 Mechanics/Machine Trade
75 Dance
76 Gerontology
77 Public Relations
78 Textiles/Cloth
79 Parks and Recreation
80 Information technology
81 Fashion
82 Counseling
98 DK/UNCODED
99 No answer
3563
COLSCI Label: R has taken any college-level sci course
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3564
COLSCINM Label: Number of college-level sci courses R have taken
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DONT KNOW
99 NO ANSWER
3565
HSMATH Label: The highest level of math R completed in high school
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NO MATH IN HS DIDN'T GO TO HS
1 GENERAL MATH, BUSINESS, OR VOCATIONAL MATH
2 PRE-ALGEBRA
3 ONE YEAR OF ALGEBRA
4 TWO YEARS OF ALGEBRA
5 GEOMETRY PLANE OR SOLID OR BOTH
6 TRIGONOMETRY LINEAR PROGRAMMING ANALYSIS
7 PRE-CALCULUS
8 CALCULUS
9 STATISTICS PROBABILITY
10 OTHER
98 DONT KNOW
99 NO ANSWER
3566
HSBIO Label: R ever took a high school biology course
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3567
HSCHEM Label: R ever took a high school chemistry course
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3568
HSPHYS Label: R ever took a high school physics course
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3569
GWSCI Label: Understanding of global warming by environmnt scientists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3570
GWPOL Label: Understanding of global warming by elected officials
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3571
GWBIZ Label: Understanding of global warming by business leaders
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3572
SCIAGRGW Label: Extent of agreement on global warming amg env scientists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Near Complete agreement
5 No agreement at all
8 DONT KNOW
9 NO ANSWER
3573
SCIINFGW Label: Influence on global warming policy: environmntal scientists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3574
POLINFGW Label: Influence on global warming policy: elected official
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3575
BIZINFGW Label: Influence on global warming policy: business leader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3576
SCIBSTGW Label: Best policy vs narrow interest: environmental scientist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3577
POLBSTGW Label: Best policy vs narrow interest: elected official
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3578
BIZBSTGW Label: Best policy vs narrow interest: business leader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3579
GASREGS Label: How much R favor requiring to make caR's using less gasoline
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly favor
2 Favor
3 Neither favor nor oppose
4 Oppose
5 Strongly oppose
8 DONT KNOW
9 NO ANSWER
3580
SCMED Label: How well medical researcheR's understand stem cells
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3581
SCRELIG Label: How well religious leaders understand stem cells
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3582
SCPOL Label: How well elected officials understand stem cells
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3583
MEDAGRSC Label: Agreement by med researchers on importance of stem cell rsch
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Near Complete agreement
5 No agreement at all
8 DONT KNOW
9 NO ANSWER
3584
MEDINFSC Label: Influence on funding for stem cell rsch: medical researchers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3585
RELINFSC Label: Influence on funding for stem cell rsch: religious leaders
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3586
POLINFSC Label: Influence on funding for stem cell rsch: elected officials
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3587
MEDBSTSC Label: Best policy on stem cell vs narrow interest: med researcher
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3588
RELBSTSC Label: Best policy on stem cell vs narrow interest: relig leader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3589
POLBSTSC Label: Best policy on stem cell vs narrow interest: elected official
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3590
SCRESRCH Label: Government should fund stem cell research
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should fund such research
2 Probably should fund such research
3 Probably should not fund such research
4 Definitely should not fund such research
8 DONT KNOW
9 NO ANSWER
3591
TXECO Label: How well economist knows effect of reducing fed income tax
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3592
TXBIZ Label: How well business leader knows effect of reducing fed inc tax
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3593
TXPOL Label: How well elected official knows effect of reducing fed inc tax
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3594
ECOAGREE Label: Agreement by economists on effect of reducing fed inc tax
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Near Complete agreement
5 No agreement at all
8 DONT KNOW
9 NO ANSWER
3595
ECOINFTX Label: Influence on reducing fed inc taxby economists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3596
BIZINFTX Label: Influence on reducing fed inc taxby business leaders
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3597
POLINFTX Label: Influence on reducing fed inc taxby elected officials
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3598
ECOBSTTX Label: Best policy vs narrow interest on fed inc tax: economist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3599
BIZBSTTX Label: Best policy vs narrow interest on fed inc tax: business leader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3600
POLBSTTX Label: Best policy vs narrow interest on fed inc tax: elected official
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3601
GMMED Label: How well med researcher know risk by genetically modified foods
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3602
GMPOL Label: How well elected official know risk by genetically modified foods
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3603
GMBIZ Label: How well business leader know risk by genetically modified foods
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3604
MEDAGRGM Label: Med researcher: agreement on effect of genetically modified food
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Near Complete agreement
5 No agreement at all
8 DONT KNOW
9 NO ANSWER
3605
MEDINFGM Label: Influence on restricting gmf by medical researcheR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3606
POLINFGM Label: Influence on restricting gmf by elected officials
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3607
BIZINFGM Label: Influence on restricting gmf by business leaders
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DONT KNOW
9 NO ANSWER
3608
MEDBSTGM Label: Best policy on gmf vs narrow interest: medical researcher
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3609
POLBSTGM Label: Best policy on gmf vs narrow interest: elected official
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3610
BIZBSTGM Label: Best policy on gmf vs narrow interest: business leader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DONT KNOW
9 NO ANSWER
3611
EATGM Label: R's view about eating genetically modified foods
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Dont care whether or not food has been genetically modified
2 Willing to eat but would prefer unmodified foods
3 Will not eat genetically modified food
8 DONT KNOW
9 NO ANSWER
3612
SCIIMP1 Label: How important: done by scientists in univeR'sity settings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3613
SCIIMP2 Label: How important: having advanced degrees in their fields
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3614
SCIIMP3 Label: How important: conclusion based on solid evidence
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3615
SCIIMP4 Label: How important: examining different interpretation of results
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3616
SCIIMP5 Label: How important: results consistent with religious beliefs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3617
SCIIMP6 Label: How important: results consistent with common sense
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3618
SCIIMP7 Label: How important: repeating experiment & finding same result
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3619
SCIIMP8 Label: How important: research takes place in a laboratory
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Pretty important
3 Not too important
4 Not important at all
8 DONT KNOW
9 NO ANSWER
3620
SOCSCI Label: How scientific: sociology
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3621
PHYSCSCI Label: How scientific: physics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3622
HISTSCI Label: How scientific: history
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3623
ACCNTSCI Label: How scientific: accounting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3624
BIOSCI Label: How scientific: biology
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3625
ECONSCI Label: How scientific: economics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3626
MEDSCI Label: How scientific: medicine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3627
ENGNRSCI Label: How scientific: engineering
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVENT HEARD OF IT VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3628
KNWFORGN Label: Level of R's information: foreign policy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very informed
2 Somewhat informed
3 Neither informed nor uninformed
4 Somewhat uninformed
5 Very uninformed
8 DONT KNOW
9 NO ANSWER
3629
KNWECON Label: Level of R's information: economic policy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very informed
2 Somewhat informed
3 Neither informed nor uninformed
4 Somewhat uninformed
5 Very uninformed
8 DONT KNOW
9 NO ANSWER
3630
KNWSCI Label: Level of R's information: science and technology
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very informed
2 Somewhat informed
3 Neither informed nor uninformed
4 Somewhat uninformed
5 Very uninformed
8 DONT KNOW
9 NO ANSWER
3631
KNWGW Label: Level of R's information: global warming
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very informed
2 Somewhat informed
3 Neither informed nor uninformed
4 Somewhat uninformed
5 Very uninformed
8 DONT KNOW
9 NO ANSWER
3632
KNWPOLAR Label: Level of R's information: the north and south poles
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very informed
2 Somewhat informed
3 Neither informed nor uninformed
4 Somewhat uninformed
5 Very uninformed
8 DONT KNOW
9 NO ANSWER
3633
TVBEARS Label: R would choose TV program about polar bears
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3634
TVINUIT Label: R would choose TV program about native ppl in the arctic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3635
TVOZONE Label: R would choose TV program about ozone hole over the antarctic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3636
TVMELTNG Label: R would choose TV program about polar ice melting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3637
TVOIL Label: R would choose TV program about oil drilling in the arctic
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3638
POLARYR1 Label: Intl polar year 07-08:R would watch a TV program
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3639
POLARYR2 Label: Intl polar year 07-08:R would read a newspaper article
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3640
POLARYR3 Label: Intl polar year 07-08:R would read a magazine article
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3641
POLARYR4 Label: Intl polar year 07-08:R would go to museum
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3642
POLARYR5 Label: Intl polar year 07-08:R would watch a feature film
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3643
POLARYR6 Label: Intl polar year 07-08:R would read a book
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3644
POLARYR7 Label: Intl polar year 07-08:R would visit a web site
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3645
POLARYR8 Label: Intl polar year 07-08:R would attend a live lecture
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Somewhat unlikely
4 Very unlikely
8 DONT KNOW
9 NO ANSWER
3646
ICESHEET Label: True-false: the north pole is on a sheet of ice
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3647
NOSUN Label: True-false: the sun never shines at the south pole
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3648
INUIT Label: True-false: inuit live north of the arctic circle
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3649
HUNTBEAR Label: True-false: hunting make polar bear extinct than climate change
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3650
ICECAPS Label: Polar ice caps got larger or smaller over last 25 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Larger
2 Smaller
3 STAYED THE SAME:VOLUNTEERED
8 DONT KNOW
9 NO ANSWER
3651
COMORSCI Label: Antarctica should be reserved or open
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly support reserving Antarctica
2 Somewhat support reserving Antarctica
3 Dont lean one way or the other on this issue
4 Somewhat support opening Antarctica
5 Strongly support opening Antarctica
8 DONT KNOW
9 NO ANSWER
3652
EXTINCT Label: Effect of global warming: polar beaR's become extinct
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Some
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
3653
SEALEVEL Label: Effect of global warming: sea level flood coastal areas
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Some
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
3654
ARTSEALS Label: Effect of global warming: arctic seals are threatened
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Some
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
3655
PENGUINS Label: Antarctic penguins threatened
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Some
3 A little
4 Not at all
8 DON'T KNOW
9 No answer
3656
INUITWAY Label: Effect of global warming: inuit no longer follow traditional way of life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Some
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
3657
NOICECAP Label: Effect of global warming: northern ice cap melt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Some
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
3658
CAREMOST Label: Most concerned possible effect of global warming
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The extinction of the polar bears
2 The rise in sea level
3 The threat to the Arctic seals
4 The threat to the Inuit way of life
5 The melting of the northern ice cap
8 DONT KNOW
9 NO ANSWER
3659
NANOTECH Label: How much R heard about nanotechnology
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A lot
2 Some
3 Just a little
4 Nothing at all
8 DONT KNOW
9 NO ANSWER
3660
NANOKNW1 Label: True-false: nanotechnology manipulate extremely small units
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3661
NANOKNW2 Label: True-false: nanoscale differ from same material at larger scale
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DONT KNOW
9 NO ANSWER
3662
NANOWILL Label: Benefit of nanotechnology outweigh harmful results
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Benefits greater
2 ABOUT EQUAL:IF VOLUNTEERED
3 Harmful results greater
8 DONT KNOW
9 NO ANSWER
3663
NANOBEN Label: Balance will be strongly in favor of the benefits or slightly
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly in favor
2 Slightly in favor
8 DONT KNOW
9 NA
3664
NANOHARM Label: Balance will be strongly in favor of the benefits or slightly
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly in favor
2 Slightly in favor
8 DONT KNOW
9 NA
3665
SCIMODE Label: Was SAQ self administered or interview administered
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0
Value Label
0 IAP
1 Assigned and done as Interviewed
2 Assigned and done as SAQ
3 Assigned as SAQ, done in interview due to R's request/inability to do as SAQ
4 Assigned as SAQ, done as interview on phone
3666
INTINTL Label: Interested in international issues
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3667
INTFARM Label: Interested in farm issues
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3668
INTEDUC Label: Interested in local school issues
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3669
INTSCI Label: Interested in new scientific dISCOveries
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3670
INTECON Label: Interested in economic issues
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3671
INTTECH Label: Interested in technologies
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3672
INTMED Label: Interested in medical dISCOveries
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3673
INTSPACE Label: Interested in space exploration
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3674
INTENVIR Label: Interested in environmental issues
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3675
INTMIL Label: Interested in military policy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very interested
2 Moderately interested
3 Not at all interested
8 DONT KNOW
9 NA
3676
SCIINTRO Label: Which version of science introduction was used
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0
Value Label
0 IAP
1 Intro Version 1
2 Intro Version 2
3677
VISART Label: How often R visited art museum last year
Format: F4.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DONT KNOW
999 NA
3678
VISNHIST Label: How often R visited natural history museum last year
Format: F4.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DONT KNOW
999 NA
3679
VISZOO Label: How often R visited zoolast year
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DONT KNOW
999 NA
3680
VISSCI Label: How often R visited science museum
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DONT KNOW
999 NA
3681
VISLIB Label: How often R visited public library last year
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DONT KNOW
999 NA
3682
SCIMATH Label: Quality of science & math educ in us is inadequate
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NA
3683
ANSCITST Label: Scientists shld be allowed to do research animals' pain & injury
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NA
3684
MABOYGRL Label: Does mom's gene decide baby's sex
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TRUE
2 FALSE
8 DONT KNOW
9 NA
3685
H2OLIFE Label: What property of water is most important
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 It is odorless
2 It does not conduct electricity
3 It is tasteless
4 It is liquid at most temperatures on Earth
8 DONT KNOW
9 NA
3686
ANHEAT Label: Which bodily features be best suited to a small animal living in a cold climate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Long ears and a long body
2 Small ears and a short tail
3 A long nose and a long tail
4 A short nose and large ears
5 A long tail and a short nose
8 DONT KNOW
9 NA
3687
LFTPLANE Label: Key factor that enables airplane to lift
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Air pressure beneath the wing is greater than that above the wing
2 Pressure within the airplane is greater than that of the outside
3 Engine power is greater than that of friction
4 The plane's wing is lighter than air
8 DONT KNOW
9 NA
3688
STORMTXT Label: Do you see lightning before hearing thunder
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE
2 PARTIAL
3 UNSATISFACTORY/INCORRECT
8 DONT KNOW
9 NA
3689
LITMSTXT Label: Why litmus paper doesn't change color in mixed solution
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE
2 PARTIAL
3 UNSATISFACTORY/INCORRECT
8 DONT KNOW
9 NA
3690
GOLDFISH Label: Experiment about goldfish and temperature
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Experiment A
2 Experiment B
3 Experiment C
4 Experiment D
8 DONT KNOW
9 NA
3691
SALTH2O Label: Ocean water for vegetables
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, because there is plenty of ocean water
2 Yes, because ocean water has many natural fertilizers
3 No, because ocean water is too salty for plants grown on land
4 No, because ocean water is much more polluted than rainwater
8 DONT KNOW
9 NA
3692
EROSION Label: Example of erosion
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The wind in the desert blows sand against a rock
2 A glacier picks up boulders as it moves
3 A flood washes over a riverbank, and the water carries small soil particles downstream
4 An icy winter causes the pavement in a road to crack
8 DONT KNOW
9 NA
3693
GENES Label: Traits are transferred over generation
Format: F1.0
Measure: Nominal
Display Width: 7
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Sperm only
2 Egg only
3 Sperm and egg
4 Testes
8 DONT KNOW
9 NA
3694
GILLS Label: How fish get oxygen
Format: F1.0
Measure: Nominal
Display Width: 7
Missing Values: 0; 8; 9
Value Label
0 IAP
1 They take in water and break it down into hydrogen and oxygen
2 Using their gills, they take in oxygen that is dissolved in water
3 They get their oxygen from the food they eat
4 They come to the surface every few minutes to breathe air into their lungs
8 DONT KNOW
9 NA
3695
UPBREATH Label: Why short breath at the top of a mountain
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A slower pulse rate
2 A greater gravitational force on the body
3 A lower percent of oxygen in the blood
4 A faster heartbeat
5 A slower circulation of blood
8 DONT KNOW
9 NA
3696
DAYNIGHT Label: When did most errors occur
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 2 A.M. to 4 A.M.
2 8 A.M. to 10 A.M.
3 12 P.M. to 2 P.M.
4 2 P.M. to 4 P.M.
5 8 P.M. to 10 P.M.
8 DONT KNOW
9 NA
3697
WEIGHING Label: Which is the best method to report weight of leaf
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Ask the teacher to weigh the leaf
2 Report the first measurement
3 Average all of the weights that were recorded
4 Average the highest and lowest weights recorded
5 Discard the lowest five weights
8 DONT KNOW
9 NA
3698
SEESAND Label: Which picture shows what she should use for the 2nd pot
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Sunlight. Sand and water
2 Dark cupboard. Sand, soil, and water
3 Dark cupboard. Soil and water
4 Sunlight. Sand and soil
5 Sunlight. Soil and water
8 DONT KNOW
9 NA
3699
FISHEXP1 Label: What is scientist trying to find out from this experiment
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 If the number of fish in the fish bowl affects the behavior of the fish
2 If the temperature of the fish bowl affects the behavior of the fish
3 If the temperature and the amount of light affect the behavior of the fish
4 If the number of fish, the temperature, and the amount of light affect the behavior of the fish
8 DONT KNOW
9 NA
3700
FISHEXP2 Label: Why did you choose that answer
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Because I already know what affects the behavior of fish
2 Because that is what is allowed to change in this experiment
3 Because that is what stays the same in this experiment
4 Because that is what the scientist decided to include in this experiment
8 DONT KNOW
9 NA
3701
MOREMPG Label: Cars use less gasoline
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly favor
2 Favor
3 Neither favor nor oppose
4 Oppose
5 Strongly oppose
8 DON'T KNOW
9 No answer
3702
POLNUKE Label: How well elected official know risk by nuclear power
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3703
BIZNUKE Label: How well business leader know risk by nuclear power
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DONT KNOW
9 NO ANSWER
3704
ENGNUKE Label: Nuclear engineers understand nuclear power
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very well
5 Not at all
8 DON'T KNOW
9 No answer
3705
ENGAGRNK Label: Engineers agree nuclear power
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Near complete agreement
5 No agreement at all
8 DON'T KNOW
9 No answer
3706
ENHINFNK Label: Nuclear engineers how much influence
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DON'T KNOW
9 No answer
3707
POLINFNK Label: Elected officials how much influence
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DON'T KNOW
9 No answer
3708
BIZINFNK Label: Business leaders how much influence
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal of influence
2 A fair amount
3 A little influence
4 None at all
8 DON'T KNOW
9 No answer
3709
ENGBSTNK Label: Nuclear engineers best for country
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DON'T KNOW
9 No answer
3710
POLBSTNK Label: Elected officials best for country
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DON'T KNOW
9 No answer
3711
BIZBSTNK Label: Business leaders best for country
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 What is best for the country
5 Own narrow interests
8 DON'T KNOW
9 No answer
3712
NUKEELEC Label: View about nuclear energy
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly favor
2 Favor
3 Oppose
4 Strongly oppose
8 DON'T KNOW
9 No answer
3713
CLONING Label: Cloning makes identical copy
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 DON'T KNOW
9 No answer
3714
SCINEWS1 Label: Newspaper printed or online
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Printed newspapers
2 Online newspapers
3 OTHER SPECIFY
8 DON'T KNOW
9 No answer
3715
SCINEWS2 Label: Magazine printed or online
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Printed magazines
2 Online magazines
3 OTHER SPECIFY
8 DON'T KNOW
9 No answer
3716
SCINEWS3 Label: Where online get info
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Online newspapers
2 Online magazines
3 Science site
4 News site
5 Electronic books & reports
6 Wikipedia
7 Government site
8 Social media (Facebook, Twitter, YouTube)
10 Other
11 Search engine (Google, Bing)
98 DON'T KNOW
99 No answer
3717
NEWSFRMY Label: Where news events info
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Print newspapers
2 Online newspapers
3 Print magazines
4 Online magazines
5 Other places on the Internet
6 Books/Other printed material
7 TV
8 Radio
9 Family
10 Friends/Colleagues
11 Other
98 DON’T KNOW
99 No answer
3718
SCIFROMY Label: Where get science and technology info
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Print newspapers
2 Online newspapers
3 Print magazines
4 Online magazines
5 Other places on the Internet
6 Books/Other printed material
7 TV
8 Radio
9 Family
10 Friends/Colleagues
11 Other
98 DON’T KNOW
99 No answer
3719
SEEKSCIY Label: Where get science issue news
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Print newspapers
2 Online newspapers
3 Print magazines
4 Online magazines
5 Other places on the Internet
6 Books/Other printed material
7 TV
8 Radio
9 Family
10 Friends/Colleagues
11 Other
98 DON’T KNOW
99 No answer
3720
SCIINFGO Label: Where online get info
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Search engine (Google, Yahoo, Bing, etc)
2 Wikipedia
3 Science site
4 News site
5 Other specific site
8 DK
9 NA
3721
SCIENTDA Label: Happy if daughter scientist
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Happy
2 Not care
3 Unhappy
8 DON'T KNOW
9 No answer
3722
SCIENTSN Label: Happy if son scientist
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Happy
2 Not care
3 Unhappy
8 DON'T KNOW
9 No answer
3723
SCIENTR Label: Consider career in science
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
3724
SCIENTDO Label: Know what scientists do
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Excellent
2 Good
3 Fair
4 Poor
5 Very Poor
8 DON'T KNOW
9 No answer
3725
SCIENTAL Label: Scientists usually work alone
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3726
SCIENTDN Label: Scientific work dangerous
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3727
SCIENTGO Label: Scientists work for good of humanity
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3728
SCIENTFU Label: Scientists don? have fun
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3729
SCIENTHE Label: Scientists help solve prob
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3730
SCIENTOD Label: Scientists odd and peculiar
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3731
SCIENTBE Label: Scientists want to make life better for avg person
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3732
SCIENTRE Label: Scientists not religious
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3733
SCIENTWK Label: Scientists only interested in work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3734
SCIENTMO Label: Scientists earn less
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3735
SCIENTBR Label: Being a scientist boring
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3736
ENGDA Label: Happy if daughter engineer
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Happy
2 Not care
3 Unhappy
8 DON'T KNOW
9 No answer
3737
ENGSON Label: Happy if son engineer
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Happy
2 Not care
3 Unhappy
8 DON'T KNOW
9 No answer
3738
ENGRESP Label: Consider work in engineer field
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
3739
ENGDO Label: Know what engineers do
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Excellent
2 Good
3 Fair
4 Poor
5 Very Poor
8 DON'T KNOW
9 No answer
3740
ENGLONE Label: Engineers usually work alone
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3741
ENGDGR Label: Engineering work dangerous
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3742
ENGGOOD Label: Engineers work for good of humanity
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3743
ENGFUN Label: Engineers don? have fun
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3744
ENGPROB Label: Engineers help solve prob
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3745
ENGODD Label: Engineers odd and peculiar
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3746
ENGBTR Label: Engineers want to make life better for avg person
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3747
ENGREL Label: Engineers not religious
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3748
ENGINT Label: Engineers only interested in work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3749
ENGEARN Label: Engineers earn less
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3750
ENGBRNG Label: Being engineer boring
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DON’T KNOW
9 No answer
3751
FARMING Label: How scientific is farming
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3752
JOURNLSM Label: How scientific is journalism
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3753
FIREFTNG Label: How scientific is firefighting
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3754
MARRCOUN Label: How scientific is marriage counseling
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3755
MEDTREAT Label: How scientific is medical treatment
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3756
ARCHITCT Label: How scientific is architecture
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3757
LAWENFRC Label: How scientific is law enforcement
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3758
ENGNRING Label: How scientific is engineering
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3759
SLSMNSHP Label: How scientific is salesmanship
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3760
CMPRGMNG Label: How scientific is computer programming
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3761
FINLCOUN Label: How scientific is financial counseling
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very scientific
2 Pretty scientific
3 Not too scientific
4 Not scientific at all
5 HAVEN'T HEARD OF IT (VOLUNTEERED)
8 DON'T KNOW
9 No answer
3762
BUYVALUE Label: Percent of company stock R bought from own money
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DONT KNOW
999 NO ANSWER
3763
OPS2005 Label: Company granted R stock options in 2005
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3764
EXTR2005 Label: Received performance based payment in 2005
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3765
COMPWAGE Label: Annual wages in previous year were higher than same jobs in other companies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Lower
5 5 Higher
8 DONT KNOW
9 NO ANSWER
3766
TALKTEAM Label: If employee not working: talk directly to the employee
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all likely
2 Not very likely
3 Somewhat likely
4 Very likely
8 DONT KNOW
9 NO ANSWER
3767
NUMORG Label: Number of people working in organization at all locations
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9981 1-9 in range
9982 10-49 in range
9983 50-99 in range
9984 100-499 in range
9985 500-999 in range
9986 1000-1999 in range
9987 2000-2999 in range
9988 3000-3999 in range
9989 4000-4999 in range
9990 5000-10000 in range
9991 10000-50000 in range
9992 50000-100000 in range
9993 Above 100000 in range
9997 10000 or more in value
9998 DONT KNOW
9999 NO ANSWER
3768
EMPINPUT Label: R involved in any task force for decision-making
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3769
SLFMANGD Label: R involved in a self-managed team
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3770
EMPTRAIN Label: Received formal training from employer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3771
WEALTH Label: Total wealth of respondent
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Less than $5,000
2 $5,000 to $20,000
3 $20,000 to $40,000
4 $40,000 to $75,000
5 $75,000 to $100,000
6 $100,000 to $150,000
7 $150,000 to $250,000
8 $250,000 to $500,000
9 $500,000 to $1 million
10 $1 million to $2 million
11 $2 million to $3 million
12 $3 million to $4 million
13 $4 million to $5 million
14 $5 million to $10 million
15 Above $10 million
98 DONT KNOW
99 NO ANSWER
3772
ESOP Label: R is member of esop
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3773
DEFPENSN Label: R has defined benefit pension plan
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3774
TRDESTCK Label: Company stock publicly traded
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
3775
VIGLAB06 Label: X is experiencing alchl dependencedepression schizophrenia
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3776
MHTRTOTH Label: R Personally has known someone who received treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3777
MHOTHYOU Label: How much distress his mental health problem caused r
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Quite a bit
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
3778
MHOTHREL Label: Result of mental health problem to relationship with him
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Became stronger
2 Became worse
3 Was unchanged
4 Ended as a result of the problem
8 DONT KNOW
9 NO ANSWER
3779
SEEMHPUB Label: How frequently R sees someone mentally ill in public
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Almost never
4 Never
8 DONT KNOW
9 NO ANSWER
3780
GESTTALK Label: How often R see people making strange gesture in public
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Almost never
4 Never
8 DONT KNOW
9 NO ANSWER
3781
AVOIDMH Label: R changed shopping place due to presence of mentally ill ppl
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Often
2 Sometimes
3 Almost never
4 Never
8 DONT KNOW
9 NO ANSWER
3782
NUMKNOWN Label: Variable that drives skips in module
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUBSET1
2 SUBSET2
3 SUBSET3
4 SUBSET4
5 SUBSET5
8 Dont Know
9 No Answer
3783
ACQKEVIN Label: Number of Kevin R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3784
ACQKAREN Label: Number of Karen R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3785
ACQSHAWN Label: Number of Shawn R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3786
ACQBRNDA Label: Number of Brenda R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3787
ACQKEITH Label: Number of Keith R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3788
ACQRACHL Label: Number of Rachel R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3789
ACQMARK Label: Number of Mark R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3790
ACQLINDA Label: Number of Linda R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3791
ACQJOSE Label: Number of Jose R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3792
ACQMARIA Label: Number of Maria R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3793
ACQUNEMP Label: Number of ppl currently unemployed R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3794
ACQHOME Label: Number of ppl owning second home R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3795
ACQPRISN Label: Number of ppl in prison R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3796
ACQAsian Label: Number of Asian R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3797
ACQBLACK Label: Number of black R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3798
ACQHISP Label: Number of Hispanic R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3799
ACQWHITE Label: Number of white R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3800
ACQGAY Label: Number of gay R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3801
ACQCOHAB Label: Number of cohabiting pplR is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3802
ACQGOATT Label: Number of regular church attendee R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3803
ACQNOATT Label: Number of non church attendee R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3804
ACQLIB Label: Number of strong liberal R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3805
ACQCON Label: Number of strong conservative R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3806
ACQCOPS Label: Number of police officer R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3807
ACQLAWS Label: Number of lawyer R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3808
ACQSOCS Label: Number of social worker R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3809
ACQJANS Label: Number of janitor R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3810
ACQCHILD Label: Number of child care worker R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3811
ACQELECS Label: Number of electrician R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3812
ACQMILS Label: Number of ppl in military service R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3813
ACQFMMRK Label: Number of family member named Mark
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3814
ACQFMLIN Label: Number of family member named Linda
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3815
ACQFMUNE Label: Number of unemployed family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3816
ACQFMHME Label: Number of family member owning second home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3817
ACQFMPRI Label: Number of family member in prison
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3818
ACQFMASN Label: Number of Asian family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3819
ACQFMBLK Label: Number of black family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3820
ACQFMHSP Label: Number of Hispanic family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3821
ACQFMWHT Label: Number of white family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3822
ACQFMGAY Label: Number of gay family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3823
ACQFMGO Label: Number of family member going church regularly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3824
ACQFMNO Label: Number of family member not going church
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3825
ACQFMLIB Label: Number of liberal in family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3826
ACQFMCON Label: Number of conservative in family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3827
ACQFMCOH Label: Number of cohabiting family member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3828
ACQNHMRK Label: Number of Mark in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3829
ACQNHLIN Label: Number of Linda in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3830
ACQNHUNE Label: Number of ppl unemployed in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3831
ACQNHHME Label: Number of ppl owning second home in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3832
ACQNHPRI Label: Number of ppl in prison in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3833
ACQNHASN Label: Number of Asian in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3834
ACQNHBLK Label: Number of black in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3835
ACQNHHSP Label: Number of Hispanic in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3836
ACQNHWHT Label: Number of white in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3837
ACQNHGAY Label: Number of gay in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3838
ACQNHGO Label: Number of regular church attendee in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3839
ACQNHNO Label: Number of non church attendee in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3840
ACQNHLIB Label: Number of liberal in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3841
ACQNHCON Label: Number of conservative in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3842
ACQNHCOH Label: Number of cohabiting ppl in neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3843
ACQWKMRK Label: Number of Mark in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3844
ACQWKLIN Label: Number of Linda in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3845
ACQWKUNE Label: Number of ppl unemployed in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3846
ACQWKHME Label: Number of ppl owning second home in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3847
ACQWKPRI Label: Number of ppl in prison in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3848
ACQWKASN Label: Number of Asian in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3849
ACQWKBLK Label: Number of black in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3850
ACQWKHSP Label: Number of Hispanic in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3851
ACQWKWHT Label: Number of white in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3852
ACQWKGAY Label: Number of gay in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3853
ACQWKGO Label: Number of regular church attendee in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3854
ACQWKNO Label: Number of non church attendee in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3855
ACQWKLIB Label: Number of strong liberal in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3856
ACQWKCON Label: Number of strong conservative in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3857
ACQWKCOH Label: Number of cohabiting ppl in current or previous work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 6 THRU 9; 0
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
6 I DONT HAVE A JOB
8 DONT KNOW
9 NO ANSWER
3858
ACQVAMRK Label: Number of Mark in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3859
ACQVALIN Label: Number of Linda in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3860
ACQVAUNE Label: Number of unemployed ppl in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3861
ACQVAHME Label: Number of ppl owning second home in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3862
ACQVAPRI Label: Number of ppl in prison in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3863
ACQVAASN Label: Number of Asian in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3864
ACQVABLK Label: Number of black in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3865
ACQVAHSP Label: Number of Hispanic in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3866
ACQVAWHT Label: Number of white in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3867
ACQVAGAY Label: Number of gay in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3868
ACQVAGO Label: Number of regular church attendee in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3869
ACQVANO Label: Number of non church attendee in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3870
ACQVALIB Label: Number of liberal in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3871
ACQVACON Label: Number of conservative in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3872
ACQVACOH Label: Number of cohabiting ppl in voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3873
ACQREPS Label: Number of republican R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all
2 Most
3 About half
4 A few
5 None
8 DONT KNOW
9 NO ANSWER
3874
ACQDEMS Label: Number of democrat R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all
2 Most
3 About half
4 A few
5 None
8 DONT KNOW
9 NO ANSWER
3875
ACQATTND Label: Number of regular church attendee R is acquainted with
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all
2 Most
3 About half
4 A few
5 None
8 DONT KNOW
9 NO ANSWER
3876
ACQMYRAC Label: Proportion of same race as R among all acquaintances
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all the same race as you
2 Mostly the same race as you
3 About evenly divided
4 Mostly a different race than you
5 Almost all a different race than you
8 DONT KNOW
9 NO ANSWER
3877
TRTKEVIN Label: Number of Kevin R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3878
TRTKAREN Label: Number of Karen R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3879
TRTSHAWN Label: Number of Shawn R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3880
TRTBRNDA Label: Number ofBrenda R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3881
TRTKEITH Label: Number ofKeith R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3882
TRTRACHL Label: Number ofRachel R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3883
TRTMARK Label: Number ofMark R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3884
TRTLINDA Label: Number ofLinda R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3885
TRTJOSE Label: Number ofJose R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3886
TRTMARIA Label: Number ofMaria R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3887
TRTCOPS Label: Number of police officer R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3888
TRTLAWS Label: Number of lawyer R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3889
TRTSOCS Label: Number of social worker R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3890
TRTJANS Label: Number of janitor R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3891
TRTCHILD Label: Number of child care worker R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3892
TRTELECS Label: Number of electrician R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3893
TRTMILS Label: Number of ppl in military service R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3894
TRTUNEMP Label: Number of ppl unemployed R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3895
TRTHOME Label: Number of ppl owning second homeR trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3896
TRTPRISN Label: Number of ppl in prisonR trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3897
TRTAsian Label: Number of Asian R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3898
TRTBLACK Label: Number of black R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3899
TRTHISP Label: Number of Hispanic R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3900
TRTWHITE Label: Number of white R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3901
TRTGAY Label: Number of gay R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3902
TRTCOHAB Label: Number of cohabiting ppl R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3903
TRTGOATT Label: Number of church attendeeR trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3904
TRTNOATT Label: Number of non church attendeeR trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3905
TRTLIB Label: Number of strong liberalR trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3906
TRTCON Label: Number of strong conservativeR trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0
2 1
3 2-5
4 6-10
5 More than 10
8 DONT KNOW
9 NO ANSWER
3907
TRTREPS Label: Proportion of republican R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all
2 Most
3 About half
4 A few
5 None
8 DONT KNOW
9 NO ANSWER
3908
TRTDEMS Label: Proportion of democrat R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all
2 Most
3 About half
4 A few
5 None
8 DONT KNOW
9 NO ANSWER
3909
TRTATTND Label: Proportion of regular church attendee R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all
2 Most
3 About half
4 A few
5 None
8 DONT KNOW
9 NO ANSWER
3910
TRTMYRAC Label: Proportion of same race as R among ppl R trust
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost all the same race as you
2 Mostly the same race as you
3 About evenly divided
4 Mostly a different race than you
5 Almost all a different race than you
8 DONT KNOW
9 NO ANSWER
3911
GUNSALES Label: Should background check be required for private gun sale
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly favor
2 Favor
3 Neither favor nor oppose
4 Oppose
5 Strongly oppose
8 DONT KNOW
9 NO ANSWER
3912
GUNSDRUG Label: Should penalty for illegal gun sale be tougher than drug
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Tougher
2 Less tough
3 About as tough
8 DONT KNOW
9 NO ANSWER
3913
SEMIGUNS Label: Should semi-auto gun sale be limited to military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Sold to the general public
2 Sales be limited to the military and police
8 DONT KNOW
9 NO ANSWER
3914
GUNS911 Label: Should gun control law be stricter after 911
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Should be stricter
2 Should be less strict
8 DONT KNOW
9 NO ANSWER
3915
RIFLES50 Label: Should high power rifle sale be limited to military
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Restricted to the police and military
2 Available to civilians like other hunting rifles
8 DONT KNOW
9 NO ANSWER
3916
OTHGUNS Label: Number of adult owing a gun in household
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 person
2 2 persons
3 3 persons
8 DONT KNOW
9 NO ANSWER
3917
GUNSDRNK Label: Should carrying a firearm drinking alcohol be illegal
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Favor
2 Oppose
8 DONT KNOW
9 NO ANSWER
3918
SPNATDIS Label: Should govt spend more or less on natural disasters
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Spend much more
2 Spend more
3 Spend the same as now
4 Spend less
5 Spend much less
8 DONT KNOW
9 NO ANSWER
3919
NATDISIN Label: Should helping ppl in natural disaster be govt resp
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Should
2 Should not be
8 DONT KNOW
9 NO ANSWER
3920
NATDISCM Label: Should rebuilding community in disaster be govt resp
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Should
2 Should not be
8 DONT KNOW
9 NO ANSWER
3921
NEWSPRNT Label: How often Does R read traditional newspaper
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Every day
2 A few times a week
3 Once a week
4 Less than once a week
5 Never
8 DONT KNOW
9 NO ANSWER
3922
GETAHEAY Label: Opinion of why people get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Hard work most important
2 HARD WORK, LUCK EQUALLY IMPORTANT
3 Luck or help from other people most important
8 DONT KNOW
9 NO ANSWER
3923
DISABLD1 Label: R has a hearing problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3924
DISABLD2 Label: R has a vision problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3925
DISABLD3 Label: R has a physical disability
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3926
DISABLD4 Label: R has other physical disability
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3927
DISABLD5 Label: R has emotional or mental disability
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3928
DISABLD6 Label: R has difficulty in learning remembering or concentrating
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3929
DISABLD7 Label: R has difficulty in daily activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3930
VIGVERMY Label: Vignette version
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Vignette 1
2 Vignette 2
3 Vignette 3
4 Vignette 4
5 Vignette 5
6 Vignette 6
7 Vignette 7
8 Vignette 8
9 Vignette 9
10 Vignette 10
11 Vignette 11
12 Vignette 12
98 DONT KNOW
99 NO ANSWER
3931
MHPROBLM Label: How serious X s situation is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very serious
2 Moderately serious
3 Not very serious
4 Not at all seriou
8 DONT KNOW
9 NO ANSWER
3932
MHDOFAM Label: What X should do: talk to family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3933
MHDOFRND Label: What X should do: talk to friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3934
MHDOREL Label: What X should do: talk to relic leader
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3935
MHDODOC Label: What X should do: go to doctor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3936
MHDOPSYC Label: What X should do: go to psychiatrist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3937
MHDOMHP Label: What X should do: go to counselor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3938
MHDOHEAL Label: What X should do: go to spiritual healer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3939
MHDOOTC Label: What X should do: take non-prescription medication
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3940
MHDORX Label: What X should do: take prescription medication
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3941
MHDOHOSP Label: What X should do: check into a hospital
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3942
MHDOPRAY Label: What X should do: pray
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3943
MHDOLIFE Label: What X should do: change lifestyle
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3944
MHDOHERB Label: What X should do: take herbs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3945
MHDOFRGT Label: What X should do: try to forget
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3946
MHDOACTV Label: What X should do: get involved in other activities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3947
MHDOGRP Label: What X should do: get involved in a group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3948
MHDODIET Label: What X should do: eat better
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3949
MHDOEXRC Label: What X should do: start exercising
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3950
MHDOMOVE Label: What X should do: move to another location
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3951
MHDOOTH Label: What X should do: other mentions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3952
MHDONONE Label: What X should do: nothing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
3953
MHCHRCTR Label: X s situation caused by: bad character
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3954
MHBRAIN Label: X s situation caused by: brain disease
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3955
MHRAISED Label: X s situation caused by: the way raised
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3956
MHSTRESS Label: X s situation caused by: stress
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3957
MHGENES Label: X s situation caused by: genetic problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3958
MHGOD Label: X s situation caused by: god s will
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3959
MHLUCK Label: X s situation caused by: bad luck
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3960
MHUPDOWN Label: X is experiencing normal ups-and-downs of life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3961
MHILLNSS Label: X is experiencing mental illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3962
MHPHYSCL Label: X is experiencing physical illness
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3963
MHNEIHBR Label: R would have X as a neighbor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely willing
2 Probably willing
3 Probably unwilling
4 Definitely unwilling
8 DONT KNOW
9 NO ANSWER
3964
MHSOCIAL Label: R would spend time socializing with X
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely willing
2 Probably willing
3 Probably unwilling
4 Definitely unwilling
8 DONT KNOW
9 NO ANSWER
3965
MHKDCARE Label: R would have X care for your children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely willing
2 Probably willing
3 Probably unwilling
4 Definitely unwilling
8 DONT KNOW
9 NO ANSWER
3966
MHFRIEND Label: R would make friends with X
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely willing
2 Probably willing
3 Probably unwilling
4 Definitely unwilling
8 DONT KNOW
9 NO ANSWER
3967
MHWKWITH Label: R would work closely with X on a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely willing
2 Probably willing
3 Probably unwilling
4 Definitely unwilling
8 DONT KNOW
9 NO ANSWER
3968
MHWEDREL Label: R would have X marry someone related to you
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely willing
2 Probably willing
3 Probably unwilling
4 Definitely unwilling
8 DONT KNOW
9 NO ANSWER
3969
MHIMPOWN Label: How likely X s situation will improve on its own
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3970
MHIMPTRT Label: How likely X s situation will improve with treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
3971
MHDECSLF Label: How able is X to decide whether to receive treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very able
2 Moderately able
3 Not very able
4 Not at all able
8 DONT KNOW
9 NO ANSWER
3972
MHMONEY Label: How able is X to decide on managing own money
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very able
2 Moderately able
3 Not very able
4 Not at all able
8 DONT KNOW
9 NO ANSWER
3973
MHOUTSDR Label: Getting treatment would make X outsider in community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3974
MHLOSEFR Label: X would lose friends if people know his her treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3975
MHLESSOP Label: X s opportunities limited if people know his her treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3976
MHUNEASY Label: Being around X would make me feel uncomfortable
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3977
MHUNSURE Label: People like X are unpredictable
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3978
MHINTL Label: People like X are just as intelligent as anyone else
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3979
MHNOTPOL Label: People like X shouldn't be allowed to hold public office
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3980
MHHRDTLK Label: People like X are hard to talk to
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3981
MHNOKIDS Label: People like X shouldn't be allowed to have children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3982
MHCREATV Label: People like X are more creative than others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3983
MHNERVS Label: Being around X would make me feel nervous
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3984
MHPRDCTV Label: People like X are just as productive as others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3985
MHFEELEM Label: X should feel embarrassed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3986
MHTRUSTY Label: People like X are just as trustworthy as anyone else
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3987
MHACCPTD Label: Person like X has no hope of being accepted as member
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3988
MHHIRED Label: X should be hired like others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3989
MHNOTELL Label: X should feel afraid to tell about his situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3990
MHSECRET Label: X s family better off if kept secret
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3991
MHSUPWRK Label: People like X shouldn't be allowed to supervise others at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3992
MHNOTCH Label: People like X shouldn't be allowed to teach children.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree, or
4 Strongly disagree?
8 DONT KNOW
9 NO ANSWER
3993
MHHLPFAM Label: How important: turn to family for help
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Not at all Important
10 Very Important
98 DONT KNOW
99 NO ANSWER
3994
MHHLPFRD Label: How important: turn to friends for help
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Not at all Important
10 Very Important
98 DONT KNOW
99 NO ANSWER
3995
MHHLPREL Label: How important: turn to religious leader
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Not at all Important
10 Very Important
98 DONT KNOW
99 NO ANSWER
3996
MHHLPGP Label: How important: go to medical doctor for help
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Not at all Important
10 Very Important
98 DONT KNOW
99 NO ANSWER
3997
MHHLPPSY Label: How important: go to psychiatrist for help
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Not at all Important
10 Very Important
98 DONT KNOW
99 NO ANSWER
3998
MHHLPMHP Label: How important: go to mental health professional
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Not at all Important
10 Very Important
98 DONT KNOW
99 NO ANSWER
3999
MHGVTJOB Label: Govt responsibility: provide job for x
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4000
MHGVTHLT Label: Govt responsibility: provide health care for x
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4001
MHGVTHME Label: Govt responsibility: provide housing for x
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4002
MHGVTEDC Label: Govt responsibility: provide financial help for education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4003
MHGVTDIS Label: Govt responsibility: provide disability benefits for x
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4004
MHSLFSHM Label: X should be ashamed to receive govt assistance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4005
MHFAMSHM Label: X family should be ashamed to receive govt assistance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4006
MHSEEDOC Label: X should be forced to be examined at a clinic by law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4007
MHMEDS Label: X should be forced to take prescribed medication by law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4008
MHHSPTRT Label: X should be forced to be hospitalized for treatment by law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4009
MHMNTHSP Label: X should be forced to go to mental hospital by law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably shouldnt be
4 Definitely shouldnt be
8 DONT KNOW
9 NO ANSWER
4010
MHVIOOTH Label: How likely X violent toward other people
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
4011
MHVIOSLF Label: How likely X violent toward him herself
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
4012
MHCAUSE Label: What caused X s situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Depression
2 Asthma
3 Schizophrenia
4 Stress
5 Something else
8 DONT KNOW
9 NO ANSWER
4013
MHTRTOT2 Label: R knows someone who received treatment for mental health
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
4014
MHCLSOTH Label: Closeness to person with mental health problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely close
2 Very close
3 Not very close
4 Not at all close
8 DONT KNOW
9 NO ANSWER
4015
MHSEROTH Label: How serious his her mental health problem was
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very serious
2 Somewhat serious
3 Not very serious
4 Not at all serious
8 DONT KNOW
9 NO ANSWER
4016
MHHLPOTH Label: How the treatment helped him/her with mental health problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Quite a bit
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
4017
MHRESOTH Label: How much responsibility R had for this person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Quite a bit
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
4018
MHDISOTH Label: How much distress this person caused R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A great deal
2 Quite a bit
3 A little
4 Not at all
8 DONT KNOW
9 NO ANSWER
4019
MHRELOTH Label: Relationship with this person as a result of mental health problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Became stronger
2 Became worse
3 Was unchanged
4 Ended as a result of the problem
8 DONT KNOW
9 NO ANSWER
4020
MHEXPOTH Label: Effect of experiences with this person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Made you a better person
2 Made you a worse person, or
3 Had no effect on you as a person
8 DONT KNOW
9 NO ANSWER
4021
MHTRTSLF Label: R have ever personally received treatment for mental health problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NO ANSWER
4022
MHSEEPUB Label: How often R sees someone with mental health problem in public places
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Frequently
2 Occasionally
3 Rarely
4 Never
8 DONT KNOW
9 NO ANSWER
4023
MHFRIGHT Label: How frightening most people are in public places
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very frightening
2 Somewhat frightening
3 Not very frightening
4 Not at all frightening
8 DONT KNOW
9 NO ANSWER
4024
MHSYMP Label: How much R feels sympathy for ppl with mental hlth problem in public places
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 No sympathy at all
2 A little sympathy
3 Quite a bit of sympathy
4 A great deal of sympathy
8 DONT KNOW
9 NO ANSWER
4025
STARTBIZ Label: R trying to start business
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4026
OWNBIZ Label: R owns business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4027
NUMOWN Label: Number of businesses you own and manage
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
7 7 or more
8 DONT KNOW
9 NA
4028
YEARBIZ Label: Year business started
Format: F5.0
Measure: Scale
Display Width: 9
Missing Values: 0; 9999
Value Label
0 IAP
9999 NA
4029
PAIDEMPS Label: R has paid employees
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4030
BIZGROSS Label: Business revenue last year
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 < $15,000
2 $15,001-$25,000
3 $25,001-$30,000
4 $30,001-$35,000
5 $35,001-$50,000
6 $50,001-$60,000
7 $60,001-$75,000
8 $75,001-$100,000
9 > $100,000
98 DONT KNOW
99 NA
4031
BIZSHARE Label: Percentage ownership R holds
Format: F4.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 998; 999
Value Label
-1 IAP
998 DONT KNOW
999 NA
4032
OWNINC Label: Amt of household income coming from this business
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 < $15,000
2 $15,001-$25,000
3 $25,001-$30,000
4 $30,001-$35,000
5 $35,001-$50,000
6 $50,001-$60,000
7 $60,001-$75,000
8 $75,001-$100,000
9 > $100,000
98 DONT KNOW
99 NA
4033
WHYBIZ Label: Why did R start business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 You started it because you came across an opportunity
2 You started it because it was a necessity
3 BOTH (VOLUNTEERED)
8 DONT KNOW
9 NA
4034
NUMEMPS5 Label: How many people R employs 5 yrs after
Format: F4.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DONT KNOW
999 NA
4035
SPJREL16 Label: Religion in which spouse raised
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4036
SPJOTH16 Label: R's spouse raised Jewish
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4037
MAJWOTH Label: R's mom was Jewish when R was growing up
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4038
PAJWOTH Label: R's dad was Jewish when R was growing up
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4039
BMITZVAH Label: R had bar or bat mitzvah when R was a child
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4040
SYNMEM Label: R belongs to a synagogue, temple, minyan, or high holiday congregation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4041
KD1RELIG Label: Religion of R's child 1
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4042
KD2RELIG Label: Religion of R's child 2
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4043
KD3RELIG Label: Religion of R's child 3
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4044
KD4RELIG Label: Religion of R's child 4
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4045
KD5RELIG Label: Religion of R's child 5
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4046
KD6RELIG Label: Religion of R's child 6
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4047
KD7RELIG Label: Religion of R's child 7
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4048
KD8RELIG Label: Religion of R's child 8
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Protestant
2 Catholic
3 Jewish
4 None
5 OTHER
6 Buddhism
7 Hinduism
8 Other Eastern
9 Muslim/Islam
10 Orthodox-Christian
11 Christian
12 Native American
13 Inter-/non-denominational
98 DONT KNOW
99 NA
4049
KD1JWOTH Label: R's child 1 considered Jewish
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4050
KD2JWOTH Label: R's child 2 considered Jewish
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4051
KD3JWOTH Label: R's child 3 considered Jewish
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4052
KD4JWOTH Label: R's child 4 considered Jewish
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4053
KD5JWOTH Label: R's child 5 considered Jewish
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 Half/part
3 No
8 DONT KNOW
9 NA
4054
DONE911A Label: Has R developed emergency plans
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4055
EFF911A Label: How effective R thinks developing emergency plans
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4056
DONE911B Label: Has R stockpiled supplies
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4057
EFF911B Label: How effective R thinks stockpiling supplies
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4058
DONE911C Label: Has R purchased things to make them safer
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4059
EFF911C Label: How effective R thinks purchasing things to make them safer
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4060
DONE911D Label: Has R learned where to get more info about terrorism
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4061
EFF911D Label: How effective R thinks learning where to get info about terrorism
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4062
DONE911E Label: Has R duplicated important documents
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4063
EFF911E Label: How effective R thinks duplicating important documents
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4064
DONE911F Label: Has R reduced air travel
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4065
EFF911F Label: How effective R thinks reducing air travel
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4066
DONE911G Label: Has R reduced travel by train
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4067
EFF911G Label: How effective R thinks reducing travel by train
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4068
DONE911H Label: Has R reduced use of public transportation
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4069
EFF911H Label: How effective R thinks reducing use of public transportation
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4070
DONE911I Label: Has R changed mail handling procedures
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4071
EFF911I Label: How effective R thinks changing mail handling procedures
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4072
DONE911J Label: Has R become vigilant of what is going on around R
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4073
EFF911J Label: How effective R thinks becoming vigilant
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4074
DONE911K Label: Has R avoided travel to certain cities
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4075
EFF911K Label: How effective R thinks avoiding travel to certain cities
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4076
DONE911L Label: Has R avoided tall buildings
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4077
EFF911L Label: How effective R thinks avoiding tall buildings
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4078
DONE911M Label: Has R avoided national landmarks
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4079
EFF911M Label: How effective R thinks avoiding national landmarks
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4080
DONE911N Label: Has R done anything else to deal with terrorism
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 No
1 Yes, respondent
2 Yes, someone respondent knows
3 Yes, both respondent and someone respondent knows
8 DONT KNOW
9 NA
4081
EFF911N Label: How effective R thinks that is
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 Not at all effective
2 2
3 3
4 4
5 5 Extremely effective
8 DONT KNOW
9 NA
4082
DONEELSE Label: Specify what it is R has done
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Research and collect more information
2 Join military
3 Avoid possible targets of terror
4 Buy new insurance policy
5 Psycho therapy
6 Pray
7 More vigilant to surrounding
8 Join secret service
9 Buy weapons
10 Vigilance and new assignments because they are already in military or secrete service
11 Terror-related traiing at work
12 Terror-related traiing in community
13 Build safe place
14 Deal with government
15 Talk about it with other people
98 DONT KNOW
99 NA
4083
WORK3YRS Label: How many full time jobs R has in past 3 yrs since 2005
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ONE
2 NUMBER GREATER THAN 1
3 NONE
8 DONT KNOW
9 NA
4084
CUREMPYR Label: How many yrs R worked for current employer
Format: F2.0
Measure: Scale
Display Width: 10
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NA
4085
PAYCHNGE Label: How much Has R pay changed on R's current job since R began
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 My pay has gone up more than the cost of living
2 My pay has stayed about the same as the cost of living
3 My pay has not kept up with the cost of living
8 DONT KNOW
9 NA
4086
PASTPAY Label: Was R's starting pay higher/lower/same as earning in previous job
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Higher
2 About the same
3 Lower
4 CURRENT EMPLOYER IS FIRST JOB
8 DONT KNOW
9 NA
4087
WHYLEAVE Label: Why R left last job
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Left Voluntarily
2 Job was abolished
3 Permanently laid off
8 DONT KNOW
9 NA
4088
WHYJBCT1 Label: Why job abolished or laid off
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 COMPANY'S SALES WERE DECLINING
2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE
3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB
4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES
5 JOB MOVED TO ANOTHER COUNTRY
6 OTHER
7 COMPANY SOLD
8 JOB DONE
9 COMPANY IN FINANCIAL PROBLEM
10 END OF CONTRACT
11 SEASONAL WORK
98 DONT KNOW
99 NA
4089
WHYJBCT2 Label: Why job abolished or laid off
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 COMPANY'S SALES WERE DECLINING
2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE
3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB
4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES
5 JOB MOVED TO ANOTHER COUNTRY
6 OTHER
7 COMPANY SOLD
8 JOB DONE
9 COMPANY IN FINANCIAL PROBLEM
10 END OF CONTRACT
11 SEASONAL WORK
98 DONT KNOW
99 NA
4090
LOSEJB12 Label: How likely R will lose job or laid off in next 1 yr
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Fairly likely
3 Not too likely
4 Not at all likely
8 DONT KNOW
9 NA
4091
WHYLOSE1 Label: Why that much possibility of job abolished or laid off
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 COMPANY'S SALES WERE DECLINING
2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE
3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB
4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES
5 JOB MOVED TO ANOTHER COUNTRY
6 OTHER
7 COMPANY SOLD
8 JOB DONE
9 COMPANY IN FINANCIAL PROBLEM
10 END OF CONTRACT
11 SEASONAL WORK
98 DONT KNOW
99 NA
4092
WHYLOSE2 Label: Why that much possibility of job abolished or laid off
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 COMPANY'S SALES WERE DECLINING
2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE
3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB
4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES
5 JOB MOVED TO ANOTHER COUNTRY
6 OTHER
7 COMPANY SOLD
8 JOB DONE
9 COMPANY IN FINANCIAL PROBLEM
10 END OF CONTRACT
11 SEASONAL WORK
98 DONT KNOW
99 NA
4093
WHYLOSE3 Label: Why that much possibility of job abolished or laid off
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 COMPANY'S SALES WERE DECLINING
2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE
3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB
4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES
5 JOB MOVED TO ANOTHER COUNTRY
6 OTHER
7 COMPANY SOLD
8 JOB DONE
9 COMPANY IN FINANCIAL PROBLEM
10 END OF CONTRACT
11 SEASONAL WORK
98 DONT KNOW
99 NA
4094
FINDNWJB Label: How likely R to find job with same/better benefit
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very easy
2 Somewhat easy
3 Not at all easy
8 DONT KNOW
9 NA
4095
MORETRDE Label: More trade, less jobs in usa
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Created more jobs
2 About the same
3 Taken them away
4 NOT RELEVANT FOR MY JOB
8 DONT KNOW
9 NA
4096
NEWJOBS Label: Jobs created are better than R's current job
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Better
2 About the same
3 Worse
8 DONT KNOW
9 NA
4097
LOSTJOBS Label: Jobs taken away are better than R's current job
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Better
2 About the same
3 Worse
8 DONT KNOW
9 NA
4098
WKCOMPTR Label: Use computer at work
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4099
WOCOMPTR Label: R can do job without computer
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Couldn't do my job without a computer or computerized equipment
2 Could do my job without a computer or computerized equipment but it would be much harder
3 Doing my job without a computer or computerized equipment would be about the same as now
4 Already do most of my job without a computer or computerized equipment
8 DONT KNOW
9 NA
4100
AUTONOJB Label: R heard of persons in R's firm having jobs replaced by computers
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4101
MEETF2F1 Label: How often meet face to face with customers, clients, patients
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Once per year or less, or
3 Several times per year
4 Several times per month
5 Several times per week
6 Daily
8 DONT KNOW
9 NA
4102
MEETF2F2 Label: How often meet face to face with co-workers to work on projects
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Once per year or less, or
3 Several times per year
4 Several times per month
5 Several times per week
6 Daily
8 DONT KNOW
9 NA
4103
INTLCOWK Label: How often exchange info with co-workers located outside usa
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Once per year or less
3 Several times per year
4 Several times per month
5 Several times per week
6 Daily
8 DONT KNOW
9 NA
4104
LASTYRWK Label: Thinking about last full-time job, what yr R worked last
Format: F5.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DONT KNOW
9999 NA
4105
LEAVEJB Label: Why did R leave last job
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Left Voluntarily
2 Job was abolished
3 Permanently laid off
8 DONT KNOW
9 NA
4106
WHYNOJB1 Label: Why job abolished or laid off
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 COMPANY'S SALES WERE DECLINING
2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE
3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB
4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES
5 JOB MOVED TO ANOTHER COUNTRY
6 OTHER
7 COMPANY SOLD
8 JOB DONE
9 COMPANY IN FINANCIAL PROBLEM
10 END OF CONTRACT
11 SEASONAL WORK
98 DONT KNOW
99 NA
4107
WHYNOJB2 Label: Why job abolished or laid off
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 COMPANY'S SALES WERE DECLINING
2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE
3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB
4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES
5 JOB MOVED TO ANOTHER COUNTRY
6 OTHER
7 COMPANY SOLD
8 JOB DONE
9 COMPANY IN FINANCIAL PROBLEM
10 END OF CONTRACT
11 SEASONAL WORK
98 DONT KNOW
99 NA
4108
INCLSTJB Label: Earnings from all sources for this job
Format: F2.0
Measure: Scale
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 A. UNDER $1,000
2 B. $1,000 to 2,999
3 C. $3,000 to 3,999
4 D. $4,000 to 4,999
5 E. $5,000 to 5,999
6 F. $6,000 to 6,999
7 G. $7,000 to 7,999
8 H. $8,000 to 9,999
9 I. $10,000 to 12,499
10 J. $12,500 to 14,999
11 K. $15,000 to 17,499
12 L. $17,500 to 19,999
13 M. $20,000 to 22,499
14 N. $22,500 to 24,999
15 O. $25,000 to 29,999
16 P. $30,000 to 34,999
17 Q. $35,000 to 39,999
18 R. $40,000 to 49,999
19 S. $50,000 to 59,999
20 T. $60,000 to 74,999
21 U. $75,000 to $89,999
22 V. $90,000 to $109,999
23 W. $110,000 to $129,999
24 X. $130,000 to $149,999
25 Y. $150,000 or over
98 DONT KNOW
99 NA
4109
BORNSP Label: In what country were you born
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 USA
2 Antigua
3 Trinidad
4 Jamaica
5 Pakistan
6 Turkey
7 Italy
8 West Indies
9 Colombia
10 Kazakhstan
12 Cuba
13 India
14 Germany
15 Ecuador
16 Mexico
17 Portugal
18 El Salvador
19 Canada
20 Guatemala
21 Zimbabwe
23 Taiwan
24 Philippines
25 Israel
26 Dominican Republic
27 Scotland
28 Haiti
29 Honduras
30 Puerto Rico
31 Austraila
32 China
33 Poland
34 Lithuania
35 Liberia
36 Brazil
37 Morocco
38 Spain
39 Bulgeria
40 USSR
41 Kuwait
42 Japan
43 Korea
44 Vietnam
45 Bermuda
46 Ghana
47 Panama
48 France
49 Romania
50 South Africa
51 England
52 Britain
98 DONT KNOW
99 NA
4110
AGECMEUS Label: If born outside usa, what age were you when you permanently moved to usa
Format: F2.0
Measure: Scale
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
96 HAVE NOT PERMANENTLY MOVED TO US
98 DONT KNOW
99 NA
4111
VISA Label: Do you hold a special visa
Format: F1.0
Measure: Nominal
Display Width: 6
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4112
TYPEVISA Label: What kind of visa
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 H1b
2 L1
3 Student
4 Tourist
5 Other
8 DONT KNOW
9 NA
4113
NATDEG Label: In which country did you obtain your highest degree?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 USA
2 Antigua
3 Trinidad
4 Jamaica
5 Pakistan
6 Turkey
7 Italy
8 West Indies
9 Colombia
10 Kazakhstan
12 Cuba
13 India
14 Germany
15 Ecuador
16 Mexico
17 Portugal
18 El Salvador
19 Canada
20 Guatemala
21 Zimbabwe
23 Taiwan
24 Philippines
25 Israel
26 Dominican Republic
27 Scotland
28 Haiti
29 Honduras
30 Puerto Rico
31 Austraila
32 China
33 Poland
34 Lithuania
35 Liberia
36 Brazil
37 Morocco
38 Spain
39 Bulgeria
40 USSR
41 Kuwait
42 Japan
43 Korea
44 Vietnam
45 Bermuda
46 Ghana
47 Panama
48 France
49 Romania
50 South Africa
51 England
52 Britain
98 DONT KNOW
99 NA
4114
EMPHLTH Label: Do you receive health insurance from employer
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4115
EMPHPLAN Label: Name of insurance or hmo
Format: F2.0
Measure: Scale
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Aetna
2 Anthem/Wellpoint
3 Blue Cross/Blue Shield
4 Blue Cross
5 Blue Shield
6 Cigna
7 Covington
8 Harvard Pilgrim
9 Humana
10 Kaiser Permanente
11 Tufts
12 United
13 Wellpoint
14 Oxford
15 HealthNet
16 United Health Care
17 Health Partners
18 Great West
19 Unicare
20 Medcost
21 Pacific Care
22 Fallon HMO
23 Arise
24 Medical Mutual of Ohio
25 Florida Health Care
26 Hawaiian Medical System Association
27 Coventry
28 Winhealth
29 Health Choice
30 Preferred Care
31 MVP
32 First Health
33 UMR
34 Affinity Health Care
35 Priority Health
36 GHI
87 Christian Brothers Employee Benefit Trust
89 Other
98 DONT KNOW
99 NA
4116
OTHPLAN Label: Other name for insurance or hmo policy
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, ANOTHER NAME
2 NO OTHER NAME
8 DONT KNOW
9 NA
4117
SEXSEX18 Label: Since age 18, have your sex partner's been...
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Only men
2 Some women, but mostly men
3 Equally men and women
4 Some men, but mostly women
5 Only Women
6 I have not had any sex partners
8 DONT KNOW
9 NA
4118
TOLDSMSX Label: At what age you first told someone that you had sex with same sex
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Under age 14
2 Age 14-18
3 Age 18-25
4 Age 26-35
5 Age 36-45
6 Age 46-55
7 Age 56-65
8 Age 66 or older
9 I have never told anyone
98 DONT KNOW
99 NA
4119
ATTRACTD Label: At what age were you first sexually attracted to same sex
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Under age 14
2 Age 14-18
3 Age 18-25
4 Age 26-35
5 Age 36-45
6 Age 46-55
7 Age 56-65
8 Age 66 or older
9 I have never told anyone I have never been sexually attracted to someone of the same sex
98 DONT KNOW
99 NA
4120
TOLDSXOR Label: At what age you first told someone that you were gay/les/bi
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Under age 14
2 Age 14-18
3 Age 18-25
4 Age 26-35
5 Age 36-45
6 Age 46-55
7 Age 56-65
8 Age 66 or older
9 I have never told anyone
98 DONT KNOW
99 NA
4121
RELGENDR Label: What is your relationship situation
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I am in a steady relationship with a woman and we live together
2 I am in a steady relationship with a man and we live together
3 I am in a steady relationship with a woman and we do not live together
4 I am in a steady relationship with a man and we do not live together
5 I am not in a steady relationship right now
8 DONT KNOW
9 NA
4122
MARUNION Label: Legal marital status
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Legally married
2 In a civil union or registered domestic partnership
3 Separated
4 Not currently married or in a civil union or registered domestic partnership
8 DONT KNOW
9 NA
4123
SEXUNION Label: Sex of R's spouse/civil union partner/domestic partner
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Male
2 Female
8 DONT KNOW
9 NA
4124
EVKID Label: Have ever given birth to/fathered a child
Format: F1.0
Measure: Nominal
Display Width: 7
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4125
ADOPTKID Label: Have ever legally adopted a child
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4126
KIDLIVED Label: Children under 18 have ever lived with R under R's care
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4127
KIDRESP Label: R is legally responsible biological/adoptive parent of a child under 18
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4128
KIDNOW1 Label: R's children under 18 living with R
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, all of them live with me at least some of the time
2 Some live with me at least some of the time
3 None live with me
8 DONT KNOW
9 NA
4129
KIDNOW2 Label: R is living in a hh where children under 18 are living with R under R's care
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4130
TOLDWORK Label: How many of R's coworkers know R is gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 All of my coworkers
2 More than half
3 About half
4 Less than half
5 None of them
8 DONT KNOW
9 NA
4131
EVLOSEJB Label: In life, R has ever been denied a job or fired bc employers believed R was gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4132
LOSEJOB5 Label: In last 5 yrs, R has been denied a job or fired bc employer believed R was gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 NOT EMPLOYED IN LAST 5 YEARS
8 DONT KNOW
9 NA
4133
EVNEGJOB Label: In life, R ever been denied promo or recvd bad evaluation bc employr belivd R was gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4134
NEGJOB5 Label: In last 5 yrs, R been denied promo or recvd bad evaluation bc employr belivd R was gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 NOT EMPLOYED IN LAST 5 YEARS
8 DONT KNOW
9 NA
4135
EVHARJB Label: In life, R has ever been harassed on job bc R was believed to be gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4136
HARJOB5 Label: In last 5 yrs, R has ever been harassed on job bc R was believed to be gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 NOT EMPLOYED IN LAST 5 YEARS
8 Don't know
9 No answer
4137
EVDWELL Label: In life, R has ever been prevented from moving bc landlord believed R was gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4138
DWELL5 Label: In last 5 yrs, R has been prevented from moving bc landlord believed R was gay/les/bi
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4139
EMPHLTH1 Label: Current employer offer health care insurance to R as employee
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4140
EMPHLTH2 Label: Employers coverage
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Only individual employees are covered
2 Employees and their spouses are covered but domestic partners are not covered
3 Employees and their spouses are covered and domestic partners are covered
8 DONT KNOW
9 NA
4141
HLTHCOVR Label: R has health insurance coverage
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4142
HLTHTYPE Label: Source of health insurance
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 My employer
2 Employer of my spouse/partner
3 Employer of someone else in my family
4 MEDICAID
5 MEDICARE
6 Individual plan from private insurer not related to current or past employment
7 Other
8 DONT KNOW
9 NA
4143
SPPART Label: R's current insurance plan covers spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 Not Applicable
8 DONT KNOW
9 NA
4144
MYKIDS Label: R's current insurance plan covers children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 Not Applicable
8 DONT KNOW
9 NA
4145
OTHKIDS Label: R's current insurance plan covers children for whom R not a bio/adoptive parent
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 Not Applicable
8 DONT KNOW
9 NA
4146
HARSEXJB Label: R has been the object of sexual advances/propositions from supervisor's
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4147
HARSEXCL Label: Since 18 R has ever found self the object of sexual advances from religious leaders
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4148
OWNCLERG Label: Did this happen with a leader in congregation R was attending
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4149
NUMCLERG Label: With how many different leaders has this happened to you
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
8 DONT KNOW
9 NA
4150
OPENREL1 Label: R and leader ever become an openly acknowledged couple
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4151
OPENREL2 Label: R and leader ever become an openly acknowledged couple
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4152
OPENREL3 Label: R and leader ever become an openly acknowledged couple
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4153
COUNSEL1 Label: Leader1 was R's counselor
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4154
COUNSEL2 Label: Leader2 was R's counselor
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4155
COUNSEL3 Label: Leader3 was R's counselor
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4156
CLRGMAR1 Label: Leader1 was married at the time
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4157
CLRGMAR2 Label: Leader2 was married at the time
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4158
CLRGMAR3 Label: Leader3 was married at the time
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4159
CLRGSEX1 Label: R had sexual contact with leader1
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4160
CLRGSEX2 Label: R had sexual contact with leader2
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4161
CLRGSEX3 Label: R had sexual contact with leader3
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4162
CLRGGEN1 Label: Sex of leader1
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Male
2 Female
8 DONT KNOW
9 NA
4163
CLRGGEN2 Label: Sex of leader2
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Male
2 Female
8 DONT KNOW
9 NA
4164
CLRGGEN3 Label: Sex of leader3
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Male
2 Female
8 DONT KNOW
9 NA
4165
ONGOREL1 Label: R had an ongoing relationship with leader1
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4166
ONGOREL2 Label: R had an ongoing relationship with leader2
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4167
ONGOREL3 Label: R had an ongoing relationship with leader3
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4168
HUSHREL1 Label: Leader1 tried to keep R from telling other people about the relationship
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4169
HUSHREL2 Label: Leader2 tried to keep R from telling other people about the relationship
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4170
HUSHREL3 Label: Leader3 tried to keep R from telling other people about the relationship
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4171
TOLDEXP1 Label: R has ever told anyone about experience with leader1
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4172
TOLDEXP2 Label: R has ever told anyone about experience with leader2
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4173
TOLDEXP3 Label: R has ever told anyone about experience with leader3
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4174
TOLDREL1 Label: R ever told any authority in congregation about experience with leader1
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4175
TOLDREL2 Label: R ever told any authority in congregation about experience with leader2
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4176
TOLDREL3 Label: R ever told any authority in congregation about experience with leader3
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4177
KNWCLSEX Label: R knows other people who were obj of sexual advances
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4178
CLSCLSEX Label: Any of them were close friends or family members
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4179
CLRGMODE Label: Was SAQ self administered or interview administered
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Interviewed
2 Self-administered
4180
PRESPOP Label: Approve of pres handling job
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Approve
2 Disapprove
8 DON'T KNOW
9 No answer
4181
VOLACTYR Label: Since last yr any volunteering
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
4182
VOLACTY2 Label: Done other types of volunteering for child's school or youth org
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
4183
POLEFY3 Label: Avg citizen influence on politics
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None
2 A little
3 Some
4 Quite a bit
5 A great deal
8 DON'T KNOW
9 No answer
4184
POLEFY11 Label: How much say about what govt does
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None
2 A little
3 Some
4 Quite a bit
5 A great deal
8 DON'T KNOW
9 No answer
4185
POLEFY13 Label: Understand issues facing country
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None
2 A little
3 Some
4 Quite a bit
5 A great deal
8 DON'T KNOW
9 No answer
4186
POLEFY15 Label: How informed about politics
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None
2 A little
3 Some
4 Quite a bit
5 A great deal
8 DON'T KNOW
9 No answer
4187
POLEFY16 Label: How often congress keeps promises
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Rarely
3 Sometimes
4 Very often
5 Extremely often
8 DON'T KNOW
9 No answer
4188
POLEFY17 Label: How many govt admins can be trusted to do what's best
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 None
2 A few
3 Some
4 Most
5 All
8 DON'T KNOW
9 No answer
4189
RATETONE Label: R's facial coloring by interviewer
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Lightest
10 Darkest
98 DK
99 NA
4190
PUBDEF Label: Should media publish defense plans
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOW PUBLICATION
2 STOP PUBLICATION
8 CANT CHOOSE
9 NA
4191
PUBECON Label: Should media publish economic plans?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOW PUBLICATION
2 STOP PUBLICATION
8 CANT CHOOSE
9 NA
4192
OBEYLAW Label: Should people obey laws without exceptn?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS OBEY LAW
2 FOLLOW CONSCIENCE
8 CANT CHOOSE
9 NA
4193
PROTEST1 Label: Allow public meetings protesting govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4194
PROTEST2 Label: Allow publications protesting govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4195
PROTEST3 Label: Allow demonstrations protesting govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4196
PROTEST4 Label: Allow occupation of govt office
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4197
PROTEST5 Label: Allow damage of govt buildings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4198
PROTEST6 Label: Allow national anti-govt strike
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4199
REVSPEAK Label: Allow revolutionary public meetings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4200
REVTCH15 Label: Allow revolutionaries to teach children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4201
REVPUB Label: Allow revolutionaries to publish books
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4202
RACSPEAK Label: Allow racists to hold public meetings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4203
RACTCH15 Label: Allow racists to teach 15 yr. olds
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4204
RACPUB Label: Allow racists to publish books
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4205
CRIMTAIL Label: Should police tail a known criminal?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4206
CRIMTAP Label: Should police tap phone of a criminal?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4207
CRIMREAD Label: Should police open mail of a criminal?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4208
CRIMHOLD Label: Should police detain a known criminal?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4209
MANTAIL Label: Should police tail a suspect?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4210
MANTAP Label: Should police tap phone of a suspect?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4211
MANREAD Label: Should police open mail of a suspect?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4212
MANHOLD Label: Should police detain a suspect?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY ALLOWED
2 PROBABLY ALLOWED
3 PROB NOT ALLOWED
4 DEFINT. NOT ALLOWED
8 CANT CHOOSE
9 NA
4213
VERDICT Label: Worse type of judicial mistake
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CONVICT INNOCENT
2 FREE THE GUILTY
8 CANT CHOOSE
9 NA
4214
DATABANK Label: Computer data threat to individual privacy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SERIOUS THREAT
2 FAIRLY SERIOUS
3 NOT SERIOUS
4 NOT A THREAT AT ALL
8 CANT CHOOSE
9 NA
4215
PROGTAX Label: How much income tax should rich pay?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PAY MUCH MORE
2 PAY MORE
3 ALL PAY SAME
4 PAY LESS
5 PAY MUCH LESS
8 CANT CHOOSE
9 NA
4216
EQINCOME Label: Govt should redistribute wealth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER
4 DISAGREE
5 DISAGREE STRONGLY
8 DK
9 NA
4217
OPRICH Label: Child of rich has better opportunity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER
4 DISAGREE
5 DISAGREE STRONGLY
8 DK
9 NA
4218
OPPROF Label: Child of profssnl has better opportunity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER
4 DISAGREE
5 DISAGREE STRONGLY
8 DK
9 NA
4219
OPFAMILY Label: Family bkgd determines success in U.S.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER
4 DISAGREE
5 DISAGREE STRONGLY
8 DK
9 NA
4220
FECOLOP Label: College opportunities for women
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTR FOR WOMEN
2 BETTER FOR WOMEN
3 NO DIFFERENCE
4 WORSE FOR WOMEN
5 MUCH WRSE FOR WOMEN
8 CANT CHOOSE
9 NA
4221
FEJOBOP Label: Job opportunities for women
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTR FOR WOMEN
2 BETTER FOR WOMEN
3 NO DIFFERENCE
4 WORSE FOR WOMEN
5 MUCH WRSE FOR WOMEN
8 CANT CHOOSE
9 NA
4222
FEINC Label: Income for women vs. men with same bkgd
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTR FOR WOMEN
2 BETTER FOR WOMEN
3 NO DIFFERENCE
4 WORSE FOR WOMEN
5 MUCH WRSE FOR WOMEN
8 CANT CHOOSE
9 NA
4223
FEHLPBUS Label: Govt should aid women seeking jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
9 NA
4224
FEHLPCOL Label: Govt should aid women seeking higher ed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
9 NA
4225
FEHLPJOB Label: Women should be given preference in jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
9 NA
4226
HSBASICS Label: School subjects: reading, writing, math
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4227
HSSEXED Label: School subjects: sex education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4228
HSRESPCT Label: School subjects: respect for authority
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4229
HSLIBART Label: School subjects: history, liter., arts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4230
HSJUDGE Label: School subjects: good judgment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4231
HSJOBTR Label: School subjects: job training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4232
HSSCI Label: School subjects: science and technology
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4233
HSCARING Label: School subjects: concern for others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4234
HSORDER Label: School subjects: discipline and order
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT NEEDED
8 CANT CHOOSE
9 NA
4235
COLOP Label: Should chances for college be changed?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASED A LOT
2 INCREASED A LITTLE
3 KEPT THE SAME
4 REDUCED A LITTLE
5 REDUCED A LOT
8 CANT CHOOSE
9 NA
4236
AIDNEEDY Label: Govt money for low income students
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT GIVE GRANTS
2 GOVT MAKE LOANS
3 NO GOVT ASST
8 CANT CHOOSE
9 NA
4237
AIDSMART Label: Govt money for high achieving students
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT GIVE GRANTS
2 GOVT MAKE LOANS
3 NO GOVT ASST
8 CANT CHOOSE
9 NA
4238
AIDAVG Label: Gov $ for stdnts with avg inc and grades
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVT GIVE GRANTS
2 GOVT MAKE LOANS
3 NO GOVT ASST
8 CANT CHOOSE
9 NA
4239
KIDDRUGS Label: Govt intervene: child uses drugs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4240
KIDSKIPS Label: Govt intervene: child skips school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4241
KIDOUT Label: Govt intervene: child stays out late
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4242
KIDNEEDY Label: Govt intervene: child is neglected
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4243
KIDBEAT Label: Govt intervene: child is abused
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4244
KIDHLTH Label: Govt intervene: child not givn med trtmt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4245
KIDEDPAR Label: Govt intervene: child not sent to school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4246
KIDXFILM Label: Govt intervene: chld allowed to see porn
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TAKE NO ACTION
2 GIVE WARNING
3 TAKE CHILD
8 CANT CHOOSE
9 NA
4247
BELTUP Label: Govt should require use of seat belts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER
4 DISAGREE
5 DISAGREE STRONGLY
9 NA
4248
NOSMOKE Label: Gov should prohibit smoking in pub areas
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER
4 DISAGREE
5 DISAGREE STRONGLY
9 NA
4249
MUSTRET Label: Govt should enforce mandatory retirement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER
4 DISAGREE
5 DISAGREE STRONGLY
9 NA
4250
POLEFF1 Label: Public has little control over politics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4251
POLEFF2 Label: Not worth talking to politicians
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4252
POLEFF3 Label: Avg person can influence politicians
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE-STRONGLY AGREE
2 DISAGREE-AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4253
POLEFF4 Label: Avg person can influence local govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4254
POLEFF5 Label: People like me have much to say re govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4255
POLEFF6 Label: Avg person can influence govt decisions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4256
POLEFF7 Label: Govt is generally responsive to public
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4257
POLEFF8 Label: I am usually interested in local elections
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4258
POLEFF9 Label: People can control world affairs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4259
POLEFF10 Label: The world is getting better
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE
2 DISAGREE
8 CANT CHOOSE
9 NA
4260
SETWAGE Label: Govt control of wages
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4261
SETPRICE Label: Govt control of prices
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4262
CUTGOVT Label: Cuts in govt spending
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4263
MAKEJOBS Label: Govt create new jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4264
LESSREG Label: Less govt regulation of business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4265
HLPHITEC Label: Govt support for new products and tech
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4266
SAVEJOBS Label: Govt support for declining industries
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4267
CUTHOURS Label: Reduction in length of work week
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY IN FAVOR
2 IN FAVOR
3 NEITHER
4 AGAINST
5 STRONGLY AGAINST
8 DK
9 NA
4268
SPENVIRO Label: Govt spending on environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4269
SPHLTH Label: Govt spending on health
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4270
SPPOLICE Label: Govt spending on law enforcement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4271
SPSCHOOL Label: Govt spending on education
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4272
SPARMS Label: Govt spending on defense
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4273
SPRETIRE Label: Govt spending on retirement benefits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4274
SPUNEMP Label: Govt spending on unemployment benefits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4275
SPARTS Label: Govt spending on culture and the arts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4276
INCTAX Label: Amount of tax on R's household income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH TOO HIGH
2 TOO HIGH
3 ABOUT RIGHT
4 TOO LOW
5 MUCH TOO LOW
6 DOES NOT APPLY
8 CANT CHOOSE
9 NA
4277
BUSTAX Label: Amount of tax on business and industry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH TOO HIGH
2 TOO HIGH
3 ABOUT RIGHT
4 TOO LOW
5 MUCH TOO LOW
8 CANT CHOOSE
9 NA
4278
INFLJOBS Label: Top priority of govt: inflation or jobs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 KEEP DOWN INFLATION
2 KEEP DOWN UNEMPLYMNT
8 CANT CHOOSE
9 NA
4279
LABORPOW Label: Power of labor unions in R's country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAR TOO MUCH POWER
2 TOO MUCH POWER
3 RIGHT AMNT OF POWER
4 TOO LITTLE POWER
5 FAR TOO LITTLE POWER
8 CANT CHOOSE
9 NA
4280
BUSPOW Label: Power of business and industry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAR TOO MUCH POWER
2 TOO MUCH POWER
3 RIGHT AMNT OF POWER
4 TOO LITTLE POWER
5 FAR TOO LITTLE POWER
8 CANT CHOOSE
9 NA
4281
GOVTPOW Label: Power of federal govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAR TOO MUCH POWER
2 TOO MUCH POWER
3 RIGHT AMNT OF POWER
4 TOO LITTLE POWER
5 FAR TOO LITTLE POWER
8 CANT CHOOSE
9 NA
4282
OWNPOWER Label: Govts role in electric power
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OWN IT
2 CONTROL PRICES
3 LEAVE ALONE
8 CANT CHOOSE
9 NA
4283
OWNMASS Label: Govts role in local mass transportation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OWN IT
2 CONTROL PRICES
3 LEAVE ALONE
8 CANT CHOOSE
9 NA
4284
OWNSTEEL Label: Govts role in the steel industry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OWN IT
2 CONTROL PRICES
3 LEAVE ALONE
8 CANT CHOOSE
9 NA
4285
OWNBANKS Label: Govts role in banking and insurance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OWN IT
2 CONTROL PRICES
3 LEAVE ALONE
8 CANT CHOOSE
9 NA
4286
OWNAUTOS Label: Govts role in automobile industry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OWN IT
2 CONTROL PRICES
3 LEAVE ALONE
8 CANT CHOOSE
9 NA
4287
JOBSALL Label: Govts resp: provide jobs for all
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4288
PRICECON Label: Govts resp: keep prices under control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4289
HLTHCARE Label: Govts resp: provide hlth care for sick
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4290
AIDOLD Label: Govts resp: provide for the elderly
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4291
AIDINDUS Label: Govts resp: assist industrial growth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4292
AIDUNEMP Label: Govts resp: provide for the unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4293
EQUALIZE Label: Govts resp: reduce income differences
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4294
AIDCOL Label: Gov. should assist low-income college student
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4295
AIDHOUSE Label: Gov. should provide housing to poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFIN SHOULD BE
2 PROBAB SHOULD BE
3 PROB SHOULD NOT BE
4 DEFIN SHOULD NOT BE
8 CANT CHOOSE
9 NA
4296
PROTSTRS Label: Feel about people protest gov
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY FAVORABLE
2 FAVORABLE
3 NEITHER FAVORABLE OR UNFAVORABLE
4 UNFAVORABLE
5 EXTREMELY UNFAVORABLE
8 CANT CHOOSE
9 NA
4297
REVOLTRS Label: Feel about people want to overthrow gov
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY FAVORABLE
2 FAVORABLE
3 NEITHER FAVORABLE OR UNFAVORABLE
4 UNFAVORABLE
5 EXTREMELY UNFAVORABLE
8 CANT CHOOSE
9 NA
4298
RACISTS Label: Feel about people who are racist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY FAVORABLE
2 FAVORABLE
3 NEITHER FAVORABLE OR UNFAVORABLE
4 UNFAVORABLE
5 EXTREMELY UNFAVORABLE
8 CANT CHOOSE
9 NA
4299
UNIONSOK Label: How good union for the country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 VERY GOOD
3 FAIRLY GOOD
4 NOT VERY GOOD
5 NOT GOOD AT ALL
8 CANT CHOOSE
9 NA
4300
POLINT Label: Your interest in politics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY INTERESTED
2 FAIRLY INTERESTED
3 SOMEWHAT INTERESTED
4 NOT VERY INTERESTED
5 NOT AT ALL INTERESTED
8 CANT CHOOSE
9 NA
4301
RPRTST1 Label: Would you attend a public meeting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINIETLY WOULD
2 PROBABLY WOULD
3 PROBABLY WOULD NOT
4 DEFINITELY WOULD NOT
8 DK
9 NA
4302
RPRTST3 Label: Would you go on a protest march-demonstration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINIETLY WOULD
2 PROBABLY WOULD
3 PROBABLY WOULD NOT
4 DEFINITELY WOULD NOT
8 DK
9 NA
4303
RPRTST15 Label: How many times be a public meeting past 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 ONCE
3 MORE THAN ONCE
8 DK
9 NA
4304
RPRTST35 Label: How many times gone on a protest march past 5 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER
2 ONCE
3 MORE THAN ONCE
8 DK
9 NA
4305
GRNLAWS Label: Gov resp tomake industry less damaging
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD BE
2 PROBABLY SHOULD BE
3 PROBABABLY SHOULD NOT BE
4 DEFINITELY SHOULD NOT BE
8 CANT CHOOSE
9 NA
4306
GENDEREQ Label: Gov resp to promote equality
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should be
2 Probably should be
3 Probably should not be
4 Definitely should not be
8 DK
9 NA
4307
PRVDHLTH Label: Who provides for sick people
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Government
2 Private companies/for-profit organizations
3 Non-profit organizations/charities/cooperatives
4 Religious organizations
5 Family, relatives or friends
8 DK
9 NA
4308
PRVDOLD Label: Who provides for old people
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Government
2 Private companies/for-profit organizations
3 Non-profit organizations/charities/cooperatives
4 Religious organizations
5 Family, relatives or friends
8 DK
9 NA
4309
PRVDSCHL Label: Who provides school educ
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Government
2 Private companies/for-profit organizations
3 Non-profit organizations/charities/cooperatives
4 Religious organizations
5 Family, relatives or friends
8 DK
9 NA
4310
GVINFLU1 Label: What peo or org have most inf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 The media
2 Trade unions
3 Businesses, banks and industry
4 Religious organizations/authorities
5 The military/army
6 Organized Crime
7 People who vote for the party/parties in government
8 Citizens in general
9 Civic and voluntary organizations
10 International organizations (e.g. United Nations, International Monetary Fund)
11 Can’t choose
98 DK
99 NA
100 DON'T KNOW
4311
GVINFLU2 Label: What peo or org have 2nd most inf
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 The media
2 Trade unions
3 Businesses, banks and industry
4 Religious organizations/authorities
5 The military/army
6 Organized Crime
7 People who vote for the party/parties in government
8 Citizens in general
9 Civic and voluntary organizations
10 International organizations (e.g. United Nations, International Monetary Fund)
11 Can’t choose
98 DK
99 NA
100 DON'T KNOW
4312
POLGBECO Label: What is your view on politics in us & world
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Policies in America depend on what is happening in the world economy, rather than who is in government
2 Policies in America depend more on who is in government, rather than what is happening in the world economy
8 DK
9 NA
4313
POLEFF11 Label: Don't have any say about what the government does
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4314
POLEFF12 Label: Even best politician cannot have much impact
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4315
POLEFF13 Label: Have a pretty good understanding of issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4316
POLEFF14 Label: Elections a good way of making gov pay attention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4317
POLEFF15 Label: Most people better informed about politics than I
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4318
POLEFF16 Label: People elected to congress try to keep promises
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4319
POLEFF17 Label: Most government administratoR's can be trusted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4320
DEMWORKS Label: How well the system of democracy in America works?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IT WORKS WELL AND NEEDS NO CHANGES
2 IT WORKS WELL BUT NEEDS SOME CHANGES
3 NEEDS A LOT OF CHANGES
4 NEEDS TO BE COMPLETELY CHANGED
8 CANT CHOOSE
9 NA
4321
TAXSPEND Label: Choice between reducing taxes or spending more
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REDUCE TAXES
2 SPEND MORE ON SOCIAL PROGRAMS
8 CANT CHOOSE
9 NA
4322
TAXPAID Label: Do authorities ensure taxes are paid
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost always
2 Often
3 Sometimes
4 Almost never
8 DK
9 NA
4323
TAXBYLAW Label: Do authorities tax legally
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost always
2 Often
3 Sometimes
4 Almost never
8 DK
9 NA
4324
BRLAWFL Label: Do private companies comply with regulations
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost always
2 Often
3 Sometimes
4 Almost never
8 DK
9 NA
4325
BRNOTAX Label: Do private companies avoid taxes
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost always
2 Often
3 Sometimes
4 Almost never
8 DK
9 NA
4326
RUNPOWER Label: Electric power should mainly be run by private
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BY PRIVATE
2 BY THE GOVERNMENT
8 CANT CHOOSE
9 NA
4327
RUNHOSP Label: Hospitals should mainly be run by private
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BY PRIVATE
2 BY THE GOVERNMENT
8 CANT CHOOSE
9 NA
4328
RUNBANKS Label: Banks should mainly be run by private
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BY PRIVATE
2 BY THE GOVERNMENT
8 CANT CHOOSE
9 NA
4329
CUTDEBT Label: Should the government cut debt?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SPEND ON SOCIAL PROGRAMS LIKE HEALTH
2 SPEND LESS THAN NOW ON SOCIAL PROGRAMS
8 CANT CHOOSE
9 NA
4330
HELPHLTH Label: How successful is govt: providing hlth care for the sick
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very successful
2 Quite successful
3 Neither successful nor un-successful
4 Quite un-successful
5 Very un-successful
8 CANT CHOOSE
9 NA
4331
HELPOLD Label: How successful is govt: decent standard of living for the old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very successful
2 Quite successful
3 Neither successful nor un-successful
4 Quite un-successful
5 Very un-successful
8 CANT CHOOSE
9 NA
4332
HELPSEC Label: How successful is govt: dealing with America s security
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very successful
2 Quite successful
3 Neither successful nor un-successful
4 Quite un-successful
5 Very un-successful
8 CANT CHOOSE
9 NA
4333
HELPCRIM Label: How successful is govt: controlling crime
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very successful
2 Quite successful
3 Neither successful nor un-successful
4 Quite un-successful
5 Very un-successful
8 CANT CHOOSE
9 NA
4334
HELPEMP Label: How successful is govt: fighting unemployment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very successful
2 Quite successful
3 Neither successful nor un-successful
4 Quite un-successful
5 Very un-successful
8 CANT CHOOSE
9 NA
4335
HELPENV Label: How successful is govt: protecting environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very successful
2 Quite successful
3 Neither successful nor un-successful
4 Quite un-successful
5 Very un-successful
8 CANT CHOOSE
9 NA
4336
CCTV Label: Civil liberties - video surveillance
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should have the right
2 Probably should have the right
3 Probably should not have the right
4 Definitely should not have the right
8 DK
9 NA
4337
EMONITOR Label: Civil liberties - monitor emails
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should have the right
2 Probably should have the right
3 Probably should not have the right
4 Definitely should not have the right
8 DK
9 NA
4338
GOVTINFO Label: Should govt info be public
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-3 NO ANSWER
-2 DON'T KNOW
-1 IAP
0 All government information should be publically available, even if this meant a risk to public security
10 Public security should be given priority, even if this means limiting access to government information
98 DK
99 NA
4339
GIVINFUSA Label: Should govt collect citizen info without knowledge
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should have the right
2 Probably should have the right
3 Probably should not have the right
4 Definitely should not have the right
8 DK
9 NA
4340
GIVINFFOR Label: Should govt collect foreigner info without knowledge
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should have the right
2 Probably should have the right
3 Probably should not have the right
4 Definitely should not have the right
8 DK
9 NA
4341
WOTRIAL Label: Should authorities have right to detain the suspected
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should have right
2 Probably should have right
3 Probably should not have right
4 Definitely should not have right
8 CANT CHOOSE
9 NA
4342
TAPPHONE Label: Should authorities have right to tap phone conveR'sation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should have right
2 Probably should have right
3 Probably should not have right
4 Definitely should not have right
8 CANT CHOOSE
9 NA
4343
STOPRNDM Label: Should authorities have right to search ppl in the street
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should have right
2 Probably should have right
3 Probably should not have right
4 Definitely should not have right
8 CANT CHOOSE
9 NA
4344
FEWTRSTY Label: There are only a few people R can trust completely
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4345
EXPLOIT Label: Other people take advantage of R if not careful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4346
YOUINFLU Label: How often R is asked to help influence important decision
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Seldom
3 Occasionally
4 Often
8 CANT CHOOSE
9 NA
4347
HLPINFLU Label: Does R have people to ask to influence important decision
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 No, nobody
2 Yes, a few people
3 Yes, some people
4 Yes, a lot of people
8 CANT CHOOSE
9 NA
4348
POLSFAIR Label: Opinion of fairness of public official s treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost always
2 Often
3 Occasionally
4 Seldom
5 Almost never
8 CANT CHOOSE
9 NA
4349
KNOWPOLS Label: Public official s treatment depends on who they know
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely does
2 Probably does
3 Probably does not
4 Definitely does not
8 CANT CHOOSE
9 NA
4350
CORRUPT1 Label: Opinion of corruption by politician
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost none
2 A few
3 Some
4 Quite a lot
5 Almost all
8 CANT CHOOSE
9 NA
4351
CORRUPT2 Label: Opinion of corruption by government administrators
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Almost none
2 A few
3 Some
4 Quite a lot
5 Almost all
8 CANT CHOOSE
9 NA
4352
BRIBE Label: Does R see public official asking for a bribe in last five years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Seldom
3 Occasionally
4 Quite often, or
5 Very often
8 CANT CHOOSE
9 NA
4353
PEOCNTCT Label: How many people in contact in a typical weekday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 0-4 persons
2 5-9
3 10-19
4 20-49
5 50 or more
8 CANT CHOOSE
9 NA
4354
MALIVE Label: Mother still alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
4355
MAVISIT Label: How often visit mother
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4356
MATIME Label: Travel time to mother
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4357
MACALL Label: Contact with mother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4358
PALIVE Label: Father still alive?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
4359
PAVISIT Label: How often visit father
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4360
PATIME Label: Travel time to father
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4361
PACALL Label: Contact with father
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4362
SISNUM Label: Number of adult sister's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NONE
1 ONE
2 TWO
3 THREE
4 FOUR
5 FIVE +
8 DK
9 NA
4363
SISVISIT Label: How often visit sister
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4364
SISTIME Label: Travel time to sister
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4365
SISCALL Label: Contact with sister
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4366
BRONUM Label: Number of adult brothers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NONE
1 ONE
2 TWO
3 THREE
4 FOUR
5 FIVE +
8 DK
9 NA
4367
BROVISIT Label: How often visit brother
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4368
BROTIME Label: Travel time to brother
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4369
BROCALL Label: Contact with brother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4370
DAUNUM Label: Number of adult daughteR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NONE
1 ONE
2 TWO
3 THREE
4 FOUR
5 FIVE +
8 DK
9 NA
4371
DAUVISIT Label: How often visit with daughter
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4372
DAUTIME Label: Travel time to daughter
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4373
DAUCALL Label: Contact with daughter
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4374
SONNUM Label: Number of adult sons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NONE
1 ONE
2 TWO
3 THREE
4 FOUR
5 FIVE +
8 DK
9 NA
4375
SONVISIT Label: How often visit son
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4376
SONTIME Label: Travel time to son
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4377
SONCALL Label: Contact with son
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4378
POSSLQ Label: Does R have marital partner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED WITH PARTNER
2 LIVING AS MARRIED
3 PARTNER, NOT TOGETHER
4 NO STEADY PARTNER
8 DK
9 NA
4379
POSSLQY Label: Relationship status and cohabitation or not
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I am married and living in the same household as my husband or wife.
2 I have a steady partner, and we live in the same household.
3 I have a husband or wife or steady partner, but we don’t live in the same household.
4 I don’t have a steady partner.
8 DON'T KNOW
9 No answer
4380
MARCOHAB Label: Cohabitation status
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 Married
2 Not married, cohabitating partner
3 Not married, no cohabitating partner
4 Not married, missing on cohabitating
9 NA
4381
GRPARNUM Label: Number of grandparents
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR MORE
97 # DK BUT > 0
98 DK
99 NA
4382
GRKIDNUM Label: Number of adult grandchildren
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR MORE
97 # DK BUT > 0
98 DK
99 NA
4383
UNAUNUM Label: Number of aunts and uncles
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR MORE
97 # DK BUT > 0
98 DK
99 NA
4384
INLAWNUM Label: Number of in-laws
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR MORE
97 # DK BUT > 0
98 DK
99 NA
4385
RELNUM Label: Number of adult nieces, nephews, etc
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR MORE
97 # DK BUT > 0
98 DK
99 NA
4386
RELMOST Label: Adult relative R has most contact with
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 GRMOTHER
2 GRFATHER
3 GRDAUGHTER
4 GRANDSON
5 AUNT
6 UNCLE
7 MOTHER-IN-LAW
8 FATHER-IN-LAW
9 SISTER-IN-LAW
10 BROTHER-IN-LAW
11 FEMALE RELATIVE
12 MALE RELATIVE
13 NONE
98 DK
99 NA
4387
RELVISIT Label: How often visit most contacted rel
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4388
RELTIME Label: Travel time to most contacted rel
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4389
RELCALL Label: Contact with most contacted rel
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4390
FRINUM Label: Number of close friends
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
96 96 OR MORE
98 DK
99 NA
4391
FRIWORK Label: Number of close friends are coworkers
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
4392
FRINEIGH Label: Number of close friends are neighbors
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
4393
FRISEX Label: Sex of closest friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MAN
2 WOMAN
8 DK
9 NA
4394
FRIVISIT Label: How often visit closest friend
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LIVES IN HSHLD
2 DAILY
3 SEVERAL X WEEK
4 ONCE A WEEK
5 ONCE A MONTH
6 SEVERAL X YEAR
7 LESS OFTEN
98 DK
99 NA
4395
FRITIME Label: Travel time to closest friend
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 LT 15 MIN
2 15-30 MIN
3 30 MIN-1 HR
4 1-2 HR
5 2-3 HR
6 3-5 HR
7 5-12 HR
8 12+ HR
98 DK
99 NA
4396
FRICALL Label: Contact with closest friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DAILY
2 SEVERAL X WEEK
3 ONCE A WEEK
4 ONCE A MONTH
5 SEVERAL X YEAR
6 LESS OFTEN
8 DK
9 NA
4397
CHORES1 Label: Help for household tasks #1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 SOCIAL SERVICE
14 PAID HELP
15 OTHER
16 NO ONE
98 DK
99 NA
4398
CHORES2 Label: Help for household tasks #2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 SOCIAL SERVICE
14 PAID HELP
15 OTHER
16 NO ONE
98 DK
99 NA
4399
SICK1 Label: Help if sick #1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 NURSE
14 CLERGY
15 PAID HELP
16 OTHER
17 NO ONE
98 DK
99 NA
4400
SICK2 Label: Help if sick #2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 NURSE
14 CLERGY
15 PAID HELP
16 OTHER
17 NO ONE
98 DK
99 NA
4401
BORROW1 Label: Borrow money #1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 BANK
14 EMPLOYER
15 GOVT OR SOC SER
16 OTHER
17 NO ONE
98 DK
99 NA
4402
BORROW2 Label: Borrow money #2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 BANK
14 EMPLOYER
15 GOVT OR SOC SER
16 OTHER
17 NO ONE
98 DK
99 NA
4403
UPSET1 Label: Help for marital problem #1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 CLERGY
14 FAMILY DOCTOR
15 PROF COUNSELOR
16 OTHER
17 NO ONE
98 DK
99 NA
4404
UPSET2 Label: Help for marital problem #2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 CLERGY
14 FAMILY DOCTOR
15 PROF COUNSELOR
16 OTHER
17 NO ONE
98 DK
99 NA
4405
DOWN1 Label: Help for depression #1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 CLERGY
14 FAMILY DOCTOR
15 PROF COUNSELOR
16 OTHER
17 NO ONE
98 DK
99 NA
4406
DOWN2 Label: Help for depression #2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 CLERGY
14 FAMILY DOCTOR
15 PROF COUNSELOR
16 OTHER
17 NO ONE
98 DK
99 NA
4407
CHANGE1 Label: Help regarding important change #1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 CLERGY
14 FAMILY DOCTOR
15 PROF COUNSELOR
16 LAWYER
17 OTHER
18 NO ONE
98 DK
99 NA
4408
CHANGE2 Label: Help regarding important change #2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 SPOUSE
2 MOTHER
3 FATHER
4 DAUGHTER
5 SON
6 SISTER
7 BROTHER
8 OTHER RELATIVE
9 CLOSEST FRIEND
10 OTHER FRIEND
11 NEIGHBOR
12 COWORKER
13 CLERGY
14 FAMILY DOCTOR
15 PROF COUNSELOR
16 LAWYER
17 OTHER
18 NO ONE
98 DK
99 NA
4409
LIVECOM Label: Length of residence in city, town, comm
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
4410
LIVEHOME Label: Length at present dwelling
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
4411
MATIME1 Label: How long does it take to get to where mother live
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Less than 2 minutes
2 Less than 15 minutes
3 Between 15 and 30 minutes
4 Between 30 minutes and 1 hour
5 Between 1 and 2 hours
6 Between 2 and 3 hours
7 Between 3 and 5 hours
8 Between 5 and 12 hours
9 Over 12 hours
98 DONT KNOW
99 NO ANSWER
4412
SIBNUM Label: Number of adult sister or brother
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
4413
SIBMOST Label: Do R have the most contact with sister or brother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 With a brother
2 With a sister
3 I have no contact with any adult brother or sister
8 DONT KNOW
9 NO ANSWER
4414
SIBVISIT Label: How often does R visit this sister or brother
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 He or she lives in the same household as I do
2 Daily
3 At least several times a week
4 At least once a week
5 At least once a month
6 Several times a year
7 Less often
8 DONT KNOW
9 NO ANSWER
4415
SIBCALL Label: How often does R contact by telephone or letter
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Daily
2 At least several times a week
3 At least once a week
4 At least once a month
5 Several times a year
6 Less often
8 DONT KNOW
9 NO ANSWER
4416
KIDNUM Label: Number of children age 18 and older
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
4417
KIDMOST Label: Do R have the most contact with son or daughter
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 With a son
2 With a daughter
3 I have no contact with any adult children
8 DONT KNOW
9 NO ANSWER
4418
KIDVISIT Label: How often does R visit this son or daughter
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 He or she lives in the same household as I do
2 Daily
3 At least several times a week
4 At least once a week
5 At least once a month
6 Several times a year
7 Less often
8 DONT KNOW
9 NO ANSWER
4419
KIDCALL Label: How often does R contact by telephone or letter
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Daily
2 At least several times a week
3 At least once a week
4 At least once a month
5 Several times a year
6 Less often
8 DONT KNOW
9 NO ANSWER
4420
PAVISIT1 Label: How often does R visit father
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 He lives in the same household as I do
2 Daily
3 At least several times a week
4 At least once a week
5 At least once a month
6 Several times a year
7 Less often
8 Never
9 My father is no longer alive
10 I DONT KNOW where father lives
99 NO ANSWER
4421
PACALL1 Label: How often does R contact father by telephone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Daily
2 At least several times a week
3 At least once a week
4 At least once a month
5 Several times a year
6 Less often
7 Never
8 DONT KNOW
9 NO ANSWER
4422
MAVISIT1 Label: How often does R visit mother
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 She lives in the same household as I do
2 Daily
3 At least several times a week
4 At least once a week
5 At least once a month
6 Several times a year
7 Less often
8 Never
9 My mother is no longer alive
10 I DONT KNOW where mother lives
99 NO ANSWER
4423
MACALL1 Label: How often does R contact mother by telephone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Daily
2 At least several times a week
3 At least once a week
4 At least once a month
5 Several times a year
6 Less often
7 Never
8 DONT KNOW
9 NO ANSWER
4424
UNCAUNTS Label: How often does R contact uncles or aunts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than twice in last 4 weeks
2 Once or twice in last 4 weeks
3 Not at all in last 4 weeks
4 I have no living relative of this type
8 DONT KNOW
9 NO ANSWER
4425
COUSINS Label: How often does R contact cousin
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than twice in last 4 weeks
2 Once or twice in last 4 weeks
3 Not at all in last 4 weeks
4 I have no living relative of this type
8 DONT KNOW
9 NO ANSWER
4426
PARSLAW Label: How often does R contact parents-in-law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than twice in last 4 weeks
2 Once or twice in last 4 weeks
3 Not at all in last 4 weeks
4 I have no living relative of this type
8 DONT KNOW
9 NO ANSWER
4427
SIBINLAW Label: How often does R contact brothers or sister's-in-law
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than twice in last 4 weeks
2 Once or twice in last 4 weeks
3 Not at all in last 4 weeks
4 I have no living relative of this type
8 DONT KNOW
9 NO ANSWER
4428
NIECENEP Label: How often does R contact nieces and nephews
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than twice in last 4 weeks
2 Once or twice in last 4 weeks
3 Not at all in last 4 weeks
4 I have no living relative of this type
8 DONT KNOW
9 NO ANSWER
4429
GODPARTS Label: How often does R contact god-parents
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than twice in last 4 weeks
2 Once or twice in last 4 weeks
3 Not at all in last 4 weeks
4 I have no living relative of this type
8 DONT KNOW
9 NO ANSWER
4430
COWRKFRD Label: Number of close friends at work place
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 No close friends at work
96 More than a hundred
98 DONT KNOW
99 NO ANSWER
4431
NEIFRD Label: Number of close friends who live near R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 No close friends living near R
96 More than a hundred
98 DONT KNOW
99 NO ANSWER
4432
BESTFRD Label: Number of other close friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 a male relative
2 a female relative
3 a man who is not a relative
4 a woman who is not a relative
5 I dont have a close friend
8 DONT KNOW
9 NO ANSWER
4433
BSTVISIT Label: How often does R visit best friend
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 He or she lives in the same household as I do
2 Daily
3 At least several times a week
4 At least once a week
5 At least once a month
6 Several times a year
7 Less often
8 Never
98 DONT KNOW
99 NO ANSWER
4434
BSTCALL Label: How often does R call best friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Daily
2 At least several times a week
3 At least once a week
4 At least once a month
5 Several times a year
6 Less often
7 Never
8 DONT KNOW
9 NO ANSWER
4435
GRPPOL Label: Participated in activity of political party
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have participated more than twice
2 I have participated once or twice
3 I belong to such a group but never participate
4 I do not belong to such a group
8 DONT KNOW
9 NO ANSWER
4436
GRPUNION Label: Participated in activity of a trade union
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have participated more than twice
2 I have participated once or twice
3 I belong to such a group but never participate
4 I do not belong to such a group
8 DONT KNOW
9 NO ANSWER
4437
GRPCHURH Label: Participated in activity of church past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have participated more than twice
2 I have participated once or twice
3 I belong to such a group but never participate
4 I do not belong to such a group
8 DONT KNOW
9 NO ANSWER
4438
GRPSPORT Label: Participated in sports group past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have participated more than twice
2 I have participated once or twice
3 I belong to such a group but never participate
4 I do not belong to such a group
8 DONT KNOW
9 NO ANSWER
4439
GRPCHRTY Label: Participated in a charitable org past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have participated more than twice
2 I have participated once or twice
3 I belong to such a group but never participate
4 I do not belong to such a group
8 DONT KNOW
9 NO ANSWER
4440
GRPNEI Label: Participated in a neighbor association past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have participated more than twice
2 I have participated once or twice
3 I belong to such a group but never participate
4 I do not belong to such a group
8 DONT KNOW
9 NO ANSWER
4441
GRPOTH Label: Participated in other associations past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have participated more than twice
2 I have participated once or twice
3 I belong to such a group but never participate
4 I do not belong to such a group
8 DONT KNOW
9 NO ANSWER
4442
SICK1A Label: Who does R turn to first for help when sick
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 husband, wife, partner
2 mother
3 father
4 daughter
5 daughter-in-law
6 son
7 son-in-law
8 sister
9 brother
10 other blood relative
11 other in-law relative
12 close friend
13 neighbor
14 someone you work with
15 someone at a social services agency
16 someone you pay to help
17 someone else
18 no one
98 DONT KNOW
99 NO ANSWER
4443
SICK2A Label: Who does R turn to second for help when sick
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 husband, wife, partner
2 mother
3 father
4 daughter
5 daughter-in-law
6 son
7 son-in-law
8 sister
9 brother
10 other blood relative
11 other in-law relative
12 close friend
13 neighbor
14 someone you work with
15 someone at a social services agency
16 someone you pay to help
17 other
18 no one
98 DONT KNOW
99 NO ANSWER
4444
BORROW1A Label: Who does R turn to first when large money needed
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 husband, wife, partner
2 mother
3 father
4 daughter
5 son
6 sister
7 brother
8 other blood relative
9 other in-law relative
10 god-parent
11 close friend
12 neighbor
13 someone you work with
14 employer
15 government or social services agency
16 bank or credit union
17 private money lender
18 someone else
19 no one
98 DONT KNOW
99 NO ANSWER
4445
BORROW2A Label: Who does R turn to second when large money needed
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 husband, wife, partner
2 mother
3 father
4 daughter
5 son
6 sister
7 brother
8 other blood relative
9 other in-law relative
10 god-parent
11 close friend
12 neighbor
13 someone you work with
14 employer
15 government or social services agency
16 bank or credit union
17 private money lender
18 someone else
19 no one
98 DONT KNOW
99 NO ANSWER
4446
DOWN1A Label: Who does R turn to first for help when depressed
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 husband, wife, partner
2 mother
3 father
4 daughter
5 son
6 sister
7 brother
8 other blood relative
9 other in-law relative
10 close friend
11 neighbor
12 someone you work with
13 priest or member of the clergy
14 family doctor
15 a psychologist or other professional counselor
16 a self-help group
17 someone else
18 no one
98 DONT KNOW
99 NO ANSWER
4447
DOWN2A Label: Who does R turn to second for help when depressed
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 husband, wife, partner
2 mother
3 father
4 daughter
5 son
6 sister
7 brother
8 other blood relative
9 other in-law relative
10 close friend
11 neighbor
12 someone you work with
13 priest or member of the clergy
14 family doctor
15 a psychologist or other professional counselor
16 a self-help group
17 someone else
18 no one
98 DONT KNOW
99 NO ANSWER
4448
HELPHWRK Label: Helped someone with hwork during past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least two or three times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
4449
LENTTO Label: Lent money to another person past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least two or three times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
4450
TALKEDTO Label: Talked with someone depressed past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least two or three times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
4451
HELPJOB Label: Helped somebody to find a job past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than once a week
2 Once a week
3 Once a month
4 At least two or three times in the past year
5 Once in the past year
6 Not at all in the past year
8 DONT KNOW
9 NO ANSWER
4452
LEARNJOB Label: How did R find out about present work
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 I have never worked for pay
2 From parents, brothers or sisters
3 From other relatives
4 From a close friend
5 From an acquaintance
6 From a public employment agency or service
7 From a private employment agency
8 From a school or university placement office
9 From an advertisement or a sign
10 The employer contacted me about a job
11 I just called them or went there to ask for work
98 DONT KNOW
99 NO ANSWER
4453
FRDTHINK Label: Should close friend be someone intelligent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Very important
3 Fairly important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
4454
FRDHELPS Label: Should close friend be someone who helps R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Very important
3 Fairly important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
4455
FRDKNOWS Label: Should close friend be someone who understands R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Very important
3 Fairly important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
4456
FRDENJOY Label: Should close friend be someone who is enjoyable
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely important
2 Very important
3 Fairly important
4 Not too important
5 Not at all important
8 DONT KNOW
9 NO ANSWER
4457
KIDPARS Label: Do adult children have duty to look after parent
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 CANT CHOOSE
9 NO ANSWER
4458
FIRSTYOU Label: Should take care of oneself and ones family first
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 CANT CHOOSE
9 NO ANSWER
4459
HELPFRDS Label: Should better off ppl help less well-off friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 CANT CHOOSE
9 NO ANSWER
4460
USEFRDS Label: Ok to have frds just bc they are of use to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 CANT CHOOSE
9 NO ANSWER
4461
AIDKIDS Label: Govts resp provide childcare
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should be
2 Probably should be
3 Probably should not be
4 Definitely should not be
8 CANT CHOOSE
9 NO ANSWER
4462
OTHFRD Label: Number of other close friends
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
0 No other close friends
98 DONT KNOW
99 NO ANSWER
4463
DEMANDS Label: R feels that family make too many demands on R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 No, never
2 Yes, but seldom
3 Yes, sometimes
4 Yes, often
5 Yes, very often
8 DONT KNOW
9 NO ANSWER
4464
TRUSTPEO Label: There are only a few ppl R can trust completely
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 CANT CHOOSE
9 NO ANSWER
4465
WANTBEST Label: R is sure that other ppl want the best for R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 CANT CHOOSE
9 NO ANSWER
4466
ADVANTGE Label: Other ppl will take advantage of R if not careful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 CANT CHOOSE
9 NO ANSWER
4467
COMYEAR Label: How long Has R lived in city where R lives now
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: -1; 9998; 9999
Value Label
-1 IAP
9998 DK
9999 NA
4468
LOCALGVT Label: How likely can R do sth for improvmnt in community
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very likely
2 Somewhat likely
3 Not very likely
4 Not at all likely
8 DONT KNOW
9 NO ANSWER
4469
OPWLTH Label: Need wealthy family to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4470
OPPARED Label: Need educated parents to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4471
OPEDUC Label: Need good education to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4472
OPAMBIT Label: Need ambition to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4473
OPABLE Label: Need natural ability to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4474
OPHRDWRK Label: Need to work hard to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4475
OPKNOW Label: Need to know right people to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4476
OPCLOUT Label: Need political connections to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4477
OPRACE Label: Need to be right race to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4478
OPRELIG Label: Need to be right religion to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4479
OPREGION Label: Must be from right region to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4480
OPSEX Label: Need to be right sex to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4481
OPPOL Label: Must have certain polviews to get ahead
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4482
GOODLIFE Label: Standard of living of R will improve
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4483
INCENTIV Label: Pay differences needed for motivation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ABSOLUTELY NECCESSARY
2 PROBABLY NECCESSARY
3 PROBABLY NOT NECC
4 DEFINITELY NOT NECC
8 CANT CHOOSE
9 NA
4484
INEQUAL1 Label: Extra pay -> people take responsibility
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4485
INEQUAL2 Label: Extra pay -> workers acquire skills
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4486
INEQUAL3 Label: Inequality exists for benefit of rich
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4487
INEQUAL4 Label: Extra pay -> people earn degrees
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4488
INEQUAL5 Label: Pay differences -> American prosperity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4489
INEQUAL6 Label: Everyone benefits from business profits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4490
INEQUAL7 Label: Inequality due to lack of solidarity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4491
PAYMASON Label: How much R thinks bricklayer makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4492
PAYDOC Label: How much R thinks doctor makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4493
PAYCLERK Label: How much R thinks bank clerk makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4494
PAYOWNER Label: How much R thinks shop owner makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4495
PAYEXEC Label: How much R thinks corporate head makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4496
PAYSKILL Label: How much R thinks skilled worker makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4497
PAYFARM Label: How much R thinks farm worker makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4498
PAYSEC Label: How much R thinks secretary makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4499
PAYBUS Label: How much R thinks bus driver makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4500
PAYUNSKL Label: How much R thinks unskilled wrkr makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4501
PAYCABNT Label: How much R thinks cabinet member makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4502
PAYLAW Label: How much R thinks lawyeR's make
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4503
PAYSALES Label: How much R thinks salesclerks make
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4504
PAYFCTRY Label: How much R thinks owner of a large factory makes
Format: F6.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4505
PAYJUDGE Label: How much R thinks supreme court justice makes
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4506
PAYROCC Label: How much R thinks workers in own occupation make
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4507
GIVMASON Label: How much ought mason make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4508
GIVDOC Label: How much ought doctor make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4509
GIVCLERK Label: How much ought bank clerk make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4510
GIVOWNER Label: How much ought shop owner make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4511
GIVEXEC Label: How much ought corporate head make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4512
GIVSKILL Label: How much ought skilled worker make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4513
GIVFARM Label: How much ought farm worker make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4514
GIVSEC Label: How much ought secretary make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4515
GIVBUS Label: How much ought bus driver make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4516
GIVUNSKL Label: How much ought unskilled worker make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4517
GIVCABNT Label: How much ought cabinet member make?
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4518
GIVLAW Label: How much ought lawyer make
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4519
GIVSALES Label: How much ought salesclerk make
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4520
GIVFCTRY Label: How much ought owner of a large factory makes
Format: F6.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4521
GIVJUDGE Label: How much ought justice make
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4522
GIVROCC Label: How much ought worker in own occupation make
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: -1; 999998; 999999
Value Label
-1 IAP
999992 MT NOW PAID
999993 SAME AS NOW PAID
999994 LT NOW PAID
999996 > 1000000
999997 NEVER WORKED
999998 DK
999999 NA
4523
INCGAP Label: Income differentials in usa too big
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4524
GOVEQINC Label: Govmnt should reduce inc differentials
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4525
GOVEDOP Label: Govmnt should help poor attend college
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4526
GOVJOBS Label: Govmnt should provide jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4527
GOVLESS Label: Govmnt should spend less on poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4528
GOVUNEMP Label: Govmnt should provide unemp benefits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4529
GOVMINC Label: Govmnt should provide minimum income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4530
TAXRICH Label: Taxes on high income people too high
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH TOO HIGH
2 TOO HIGH
3 ABOUT RIGHT
4 TOO LOW
5 MUCH TOO LOW
8 CANT CHOOSE
9 NA
4531
TAXMID Label: Taxes on middle income people too high
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH TOO HIGH
2 TOO HIGH
3 ABOUT RIGHT
4 TOO LOW
5 MUCH TOO LOW
8 CANT CHOOSE
9 NA
4532
TAXPOOR Label: Taxes on low income people too high
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH TOO HIGH
2 TOO HIGH
3 ABOUT RIGHT
4 TOO LOW
5 MUCH TOO LOW
8 CANT CHOOSE
9 NA
4533
TAXSHARE Label: Should rich pay bigger share of taxes?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH LARGER SHARE
2 LARGER
3 SAME SHARE
4 SMALLER SHARE
5 MUCH LOWER SHARE
8 CANT CHOOSE
9 NA
4534
CONWLTH Label: Conflict between poor and rich in usa?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY STRONG CONFLICT
2 STRONG CONFLICT
3 NOT STRONG CONFLICT
4 NO CONFLICT
8 CANT CHOOSE
9 NA
4535
CONCLASS Label: Working and middle classes in conflict?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY STRONG CONFLICT
2 STRONG CONFLICT
3 NOT STRONG CONFLICT
4 NO CONFLICT
8 CANT CHOOSE
9 NA
4536
CONJOBS Label: Employed and unemployed in conflict
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY STRONG CONFLICT
2 STRONG CONFLICT
3 NOT STRONG CONFLICT
4 NO CONFLICT
8 CANT CHOOSE
9 NA
4537
CONUNION Label: Workers and management in conflict?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY STRONG CONFLICT
2 STRONG CONFLICT
3 NOT STRONG CONFLICT
4 NO CONFLICT
8 CANT CHOOSE
9 NA
4538
CONURBAN Label: FarmeR's and city people in conflict?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY STRONG CONFLICT
2 STRONG CONFLICT
3 NOT STRONG CONFLICT
4 NO CONFLICT
8 CANT CHOOSE
9 NA
4539
CONSOC Label: Conflict between social top and bottom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY STRONG CONFLICTS
2 STRONG CONFLICTS
3 NOT VERY STRONG CONFLICTS
4 THERE ARE NO CONFLICTS
8 CANT CHOOSE
9 NA
4540
CONAGE Label: Conflict between young and old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY STRONG CONFLICTS
2 STRONG CONFLICTS
3 NOT VERY STRONG CONFLICTS
4 THERE ARE NO CONFLICTS
8 CANT CHOOSE
9 NA
4541
OCCMOBIL Label: Status of job higher than Father's?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH HIGHER THAN DAD
2 HIGHER
3 ABOUT EQUAL
4 LOWER
5 MUCH LOWER THAN DAD
6 R NEVER HAD JOB
7 NO DAD-NEVER HAD JOB
8 DK
9 NA
4542
PAJOB Label: Type of job held by father when R 16
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 PROF OR TECH
2 HIGHER ADMIN
3 CLERICAL
4 SALES
5 SERVICE
6 SKILLED WORKER
7 SEMI-SKILLED WORKER
8 UNSKILLED WORKER
9 FARM
10 NO DAD-NEVER HAD JOB
98 DK
99 NA
4543
PASLF Label: Was father self-employed?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
3 NO DAD-NEVER HAD JOB
8 DK
9 NA
4544
FIRSTJOB Label: Type of first job held by R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 PROF OR TECH
2 HIGHER ADMIN
3 CLERICAL
4 SALES
5 SERVICE
6 SKILLED WORKER
7 SEMI-SKILLED WORKER
8 UNSKILLED WORKER
9 FARM
10 NEVER HAD JOB
98 DK
99 NA
4545
FIRSTSLF Label: First job self-employment?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
3 NEVER HAD JOB
8 DK
9 NA
4546
LASTJOB Label: Type of current job held by R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 PROF OR TECH
2 HIGHER ADMIN
3 CLERICAL
4 SALES
5 SERVICE
6 SKILLED WORKER
7 SEMI-SKILLED WORKER
8 UNSKILLED WORKER
9 FARM
10 NEVER HAD JOB
98 DK
99 NA
4547
LASTSLF Label: Current job self-employment?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SELF-EMPLOYED
2 SOMEONE ELSE
3 NEVER HAD JOB
8 DK
9 NA
4548
REWRDEFF Label: Effort rewarded in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4549
REWRDINT Label: Intelligence and skill rewarded in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4550
CORRUPT Label: Must be corrupt to get to top in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4551
EARNDES Label: R deserves earnings
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH LESS THAN I DESERVE
2 LESS THAN I DESERVE
3 WHAT I DESERVE
4 MORE THAN I DESERVE
5 MUCH MORE THAN I DESERVE
6 NEVER WORKED
8 CANT CHOOSE
9 NA
4552
LDCGAP Label: Differences between rich and poor too large
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4553
LDCTAX Label: Rich countries pay tax to help poor countries
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4554
RICHHLTH Label: Rich buy better health care than poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY JUST, DEFINITELY RIGHT
2 SOMEWHAT JUST, RIGHT
3 NEITHER JUST NOR UNJUST, MIXED FEELINGS
4 SOMEWHAT UNJUST, WRONG
5 VERY UNJUST, DEFINITELY WRONG
8 CANT CHOOSE
9 NA
4555
RICHEDUC Label: Rich buy better education than poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY JUST, DEFINITELY RIGHT
2 SOMEWHAT JUST, RIGHT
3 NEITHER JUST NOR UNJUST, MIXED FEELINGS
4 SOMEWHAT UNJUST, WRONG
5 VERY UNJUST, DEFINITELY WRONG
8 CANT CHOOSE
9 NA
4556
PAYRESP Label: How much pay dependent on responsibility
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AL ALL
8 CANT CHOOSE
9 NA
4557
PAYEDTRN Label: How much pay dependent on educ and training
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AL ALL
8 CANT CHOOSE
9 NA
4558
PAYSUP Label: How much pay dependent on supervising others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AL ALL
8 CANT CHOOSE
9 NA
4559
PAYFAM1 Label: How much pay dependent on family to support
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AL ALL
8 CANT CHOOSE
9 NA
4560
PAYCHILD Label: How much pay dependent on children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AL ALL
8 CANT CHOOSE
9 NA
4561
PAYDOWEL Label: How much pay dependent on work well done
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AL ALL
8 CANT CHOOSE
9 NA
4562
PAYHARD Label: How much pay dependent on working hard
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AL ALL
8 CANT CHOOSE
9 NA
4563
JUSTPAY Label: Is R's pay just
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH LESS THAN IS JUST
2 A LITTLE LESS THAN IS JUST
3 ABOUT JUST FOR ME
4 A LITTLE MORE THAN IS JUST
5 MUCH MORE THAN IS JUST
6 NEVER HAD A JOB
8 CANT CHOOSE
9 NA
4564
SOCTYPE1 Label: What type of society is America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TYPE A
2 TYPE B
3 TYPE C
4 TYPE D
5 TYPE E
8 CANT CHOOSE
9 NA
4565
SOCTYPE2 Label: What type of society Does R prefer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TYPE A
2 TYPE B
3 TYPE C
4 TYPE D
5 TYPE E
8 CANT CHOOSE
9 NA
4566
FAMRNK Label: Rank in society of R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOP
7 BOTTOM
8 CANT CHOOSE
9 NA
4567
UNSKLRNK Label: Rank in society of unskilled workers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOP
7 BOTTOM
8 CANT CHOOSE
9 NA
4568
EXECRNK Label: Rank in society of chairmen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TOP
7 BOTTOM
8 CANT CHOOSE
9 NA
4569
PASUP Label: R's father supervisor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO, DID NOT SUPERVISE
2 YES, SUPERVISED 1 TO 9 PEOPLE
3 YES, SUPERVISED 10 OR MORE
4 DK IF HE SUPERVISED ANYONE
5 I DK WHAT MY FATHER DID-FATHER DEAD
8 DK
9 NA
4570
BOOKS16 Label: Books in home of R age 16
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NONE
2 1 OR 2
3 AROUND 10
4 AROUND 20
5 AROUND 50
6 AROUND 100
7 AROUND 200
8 AROUND 500
9 1,000 OR MORE
98 DK
99 NA
4571
MAWRKWRM Label: Working mom can have a warm rel w kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4572
KIDSUFFR Label: Preschooler will suffer if mom works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4573
FAMSUFFR Label: Family life suffers if mom works f-t
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4574
HAPIFWRK Label: Woman and family happier if she works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4575
HOMEKID Label: Most women really want a home and kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4576
HOUSEWRK Label: Being housewife as fulfilling as paid work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4577
FEJOBIND Label: Job is best way for woman to be indep
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4578
TWOINCS Label: Husb & wife should contrib to family income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4579
HUBBYWRK Label: Husb shld work wife shld look after home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4580
ILIKEJOB Label: R would enjoy job if money wasn't needed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4581
WRKNOKID Label: Shld mom work aftr marriage, before kids?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORK FULL-TIME
2 WORK PART-TIME
3 STAY HOME
8 CANT CHOOSE
9 NA
4582
WRKBABY Label: Shld woman with preschooler work?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORK FULL-TIME
2 WORK PART-TIME
3 STAY HOME
8 CANT CHOOSE
9 NA
4583
WRKSCH Label: Shld woman work after youngest in school?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORK FULL-TIME
2 WORK PART-TIME
3 STAY HOME
8 CANT CHOOSE
9 NA
4584
WRKGROWN Label: Shld woman work after kids leave home?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORK FULL-TIME
2 WORK PART-TIME
3 STAY HOME
8 CANT CHOOSE
9 NA
4585
DAYCARE1 Label: Public daycare center ok for kid < 3 yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SUITABLE
2 SOMEWHAT SUITABLE
3 NOT VERY SUITABLE
4 NOT AT ALL SUITABLE
8 CANT CHOOSE
9 NA
4586
DAYCARE2 Label: Private daycare center ok for kid < 3 yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SUITABLE
2 SOMEWHAT SUITABLE
3 NOT VERY SUITABLE
4 NOT AT ALL SUITABLE
8 CANT CHOOSE
9 NA
4587
DAYCARE3 Label: Babysitter ok for kid < 3 yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SUITABLE
2 SOMEWHAT SUITABLE
3 NOT VERY SUITABLE
4 NOT AT ALL SUITABLE
8 CANT CHOOSE
9 NA
4588
DAYCARE4 Label: Friend or neighbor ok for kid < 3 yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SUITABLE
2 SOMEWHAT SUITABLE
3 NOT VERY SUITABLE
4 NOT AT ALL SUITABLE
8 CANT CHOOSE
9 NA
4589
DAYCARE5 Label: Relative ok for kid < 3yrs?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SUITABLE
2 SOMEWHAT SUITABLE
3 NOT VERY SUITABLE
4 NOT AT ALL SUITABLE
8 CANT CHOOSE
9 NA
4590
FEMARRY Label: Way of life recommendation for woman
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVE ALONE
2 LIVE WITH POSSLQ
3 COHABITATE, THEN MARRY
4 MARRY
8 CANT CHOOSE
9 NA
4591
MEMARRY Label: Way of life recommendation for man
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVE ALONE
2 LIVE WITH POSSLQ
3 COHABITATE, THEN MARRY
4 MARRY
8 CANT CHOOSE
9 NA
4592
MARHAPPY Label: Married people happier than unmarried
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4593
MARFREE Label: Personal freedom more impt than marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4594
MARFIN Label: Financial security main advtg of marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4595
MARKIDS Label: Main purpose of marriage = kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4596
MARNOMAR Label: Bad marriage better than none at all
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4597
MARLEGIT Label: Those wanting kids should get married
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4598
MARMAKID Label: Single ma can raise kids well as couple
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4599
MARPAKID Label: Single pa can raise kids well as couple
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4600
MARDIV Label: Marriage not taken seriously when div is easy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4601
MARHOMO Label: Homosexuals should have right to marry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4602
NUMKIDS Label: What is ideal number of kids for family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 Seven or more
8 DK
9 NA
4603
NOKIDS Label: Desirability of no-kid family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DESIRABLE
2 DESIRABLE
3 NEITHER
4 UNDESIRABLE
5 VERY UNDESIRABLE
8 CANT CHOOSE
9 NA
4604
ONEKID Label: Desirability of one-kid family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DESIRABLE
2 DESIRABLE
3 NEITHER
4 UNDESIRABLE
5 VERY UNDESIRABLE
8 CANT CHOOSE
9 NA
4605
TWOKIDS Label: Desirability of two-kid family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DESIRABLE
2 DESIRABLE
3 NEITHER
4 UNDESIRABLE
5 VERY UNDESIRABLE
8 CANT CHOOSE
9 NA
4606
THREKIDS Label: Desirability of three-kid family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DESIRABLE
2 DESIRABLE
3 NEITHER
4 UNDESIRABLE
5 VERY UNDESIRABLE
8 CANT CHOOSE
9 NA
4607
FOURKIDS Label: Desirability of 4+ kid family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY DESIRABLE
2 DESIRABLE
3 NEITHER
4 UNDESIRABLE
5 VERY UNDESIRABLE
8 CANT CHOOSE
9 NA
4608
KIDTRBLE Label: Kids more trouble than they are worth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4609
KIDJOY Label: Kids are life's greatest joy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4610
KIDNOFRE Label: Kids interfere with parents' freedom
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4611
KIDLESS Label: Kidless marriage is incomplete
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4612
KIDFIN Label: Better not to have kids due to $ burden
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4613
KIDEMPTY Label: Kidless people lead empty lives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4614
DIVNOW Label: How easy is it to get a divorce today
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY EASY
2 FAIRLY EASY
3 NEITHER
4 FAIRLY DIFFICULT
5 VERY DIFFICULT
8 CANT CHOOSE
9 NA
4615
DIVNOKID Label: How easy should divorce be for kidless
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY EASY
2 FAIRLY EASY
3 NEITHER
4 FAIRLY DIFFICULT
5 VERY DIFFICULT
8 CANT CHOOSE
9 NA
4616
DIVIFKID Label: How easy should divorce be if kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY EASY
2 FAIRLY EASY
3 NEITHER
4 FAIRLY DIFFICULT
5 VERY DIFFICULT
8 CANT CHOOSE
9 NA
4617
DIVKIDS Label: Kids better if bad marrge ended by div
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER TO DIV
2 BETTER TO DIVORCE
3 WORSE TO DIVORCE
4 MUCH WORSE TO DIV
8 CANT CHOOSE
9 NA
4618
DIVWIFE Label: Wife better if bad marrge ended by div
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER TO DIV
2 BETTER TO DIVORCE
3 WORSE TO DIVORCE
4 MUCH WORSE TO DIV
8 CANT CHOOSE
9 NA
4619
DIVHUBBY Label: Husb better if bad marrge ended by div
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER TO DIV
2 BETTER TO DIVORCE
3 WORSE TO DIVORCE
4 MUCH WORSE TO DIV
8 CANT CHOOSE
9 NA
4620
MAWORK14 Label: Did mom work before R was 14 yrs old
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 DIDNT LIVE WITH MOM
8 DK
9 NA
4621
EVDIV Label: Has R ever been divorced
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
3 NEVER MARRIED
9 NA
4622
SPEVDIV Label: Has R's current spouse been divorced
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 NOT MARRIED
8 DK
9 NA
4623
COHABIT Label: Did R live with spouse before marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 YES
2 NO
9 NA
4624
RWRKNOKD Label: Did R work aftr marrge but before kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, FULL-TIME
2 YES,PART-TIME
3 NO
8 DOESNT APPLY
9 NA
4625
RWRKBABY Label: Did R work when kid was preschooler
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, FULL-TIME
2 YES,PART-TIME
3 NO
8 DOESNT APPLY
9 NA
4626
RWRKSCH Label: Did R work after youngest in school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, FULL-TIME
2 YES,PART-TIME
3 NO
8 DOESNT APPLY
9 NA
4627
RWRKGRWN Label: Did R work after kids left home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, FULL-TIME
2 YES,PART-TIME
3 NO
8 DOESNT APPLY
9 NA
4628
EARNSMOR Label: Hubby or wife earns more $
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HUSBAND, MUCH MORE
2 HUSBAND, BIT MORE
3 SAME FOR BOTH
4 WIFE, BIT MORE
5 WIFE, MUCH MORE
8 DK
9 NA
4629
FEWRKSUP Label: Do most women work to support family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4630
HUBBYWK1 Label: Men should earn money women keep house
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4631
MRMOM Label: Gender role reversal hurts family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4632
MEOVRWRK Label: Men hurt family when focus on work too much
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4633
SINGLPAR Label: Single parents can raise kids as well as two
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4634
COHABOK Label: Living together as an acceptable option
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4635
COHABFST Label: People should live together before marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4636
DIVBEST Label: Divorce as best solution to marital problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4637
DIVIFKD1 Label: Should feuding parents stay together for kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4638
DIVNOKD1 Label: Childless couples stay married even with problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4639
LIVNOWED Label: Did R live with partner before marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, WITH A PREVIOUS PARTNER
2 YES, WITH MY PRESENT PARTNER
3 YES, WITH PREVIOUS AND PRESENT PARTNER
4 NO, NEVER
8 DK
9 NA
4640
MAPAID Label: Should working women have paid maternity leave
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4641
CHLDCARE Label: Should families get benefits if both parents work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4642
ABCHOOSE Label: Should a woman get an abortion for any reason
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CAN'T CHOOSE
9 NA
4643
TEENSEX1 Label: Morality of teens having sex
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMOST ALWAYS WRONG
3 WRONG ONLY SOMETIMES
4 NOT WRONG AT ALL
8 CAN'T CHOOSE
9 NA
4644
SEXHAR Label: R experienced sexual harassment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 NEVER HAVE WORKED
8 DK
9 NA
4645
FAMBUDGT Label: How couples monitor budget
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I MANAGE, GIVE PRTNR SHARE
2 PRNTNR MANAGES, GIVES ME SHARE
3 POOL ALL MONEY, TAKE OUT WHAT WE NEED
4 POOL SOME MONEY, KEEP SOME SEPARATE
5 KEEP MONEY SEPARATE
6 NOT MARRIED
8 DK
9 NA
4646
LAUNDRY Label: Who in household does laundry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS THE WOMAN
2 USUALLY THE WOMAN
3 ABOUT EQUAL OR BOTH TOGETHER
4 USUALLY THE MAN
5 ALWAYS THE MAN
6 IS DONE BY A THIRD PERSON
7 NOT MARRIED
8 CAN'T CHOOSE
9 NA
4647
REPAIRS Label: Who in household does small repaiR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS THE WOMAN
2 USUALLY THE WOMAN
3 ABOUT EQUAL OR BOTH TOGETHER
4 USUALLY THE MAN
5 ALWAYS THE MAN
6 IS DONE BY A THIRD PERSON
7 NOT MARRIED
8 CAN'T CHOOSE
9 NA
4648
CARESICK Label: Who in household cares for sick in family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS THE WOMAN
2 USUALLY THE WOMAN
3 ABOUT EQUAL OR BOTH TOGETHER
4 USUALLY THE MAN
5 ALWAYS THE MAN
6 IS DONE BY A THIRD PERSON
7 NOT MARRIED
8 CAN'T CHOOSE
9 NA
4649
SHOPFOOD Label: Who in household shops for groceries
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS THE WOMAN
2 USUALLY THE WOMAN
3 ABOUT EQUAL OR BOTH TOGETHER
4 USUALLY THE MAN
5 ALWAYS THE MAN
6 IS DONE BY A THIRD PERSON
7 NOT MARRIED
8 CAN'T CHOOSE
9 NA
4650
DINNER Label: Who in household plans meals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS THE WOMAN
2 USUALLY THE WOMAN
3 ABOUT EQUAL OR BOTH TOGETHER
4 USUALLY THE MAN
5 ALWAYS THE MAN
6 IS DONE BY A THIRD PERSON
7 NOT MARRIED
8 CAN'T CHOOSE
9 NA
4651
SPWKNOKD Label: Did spouse work after marriage before kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORKED FULL-TIME
2 WORKED PART-TIME
3 STAYED HOME
8 DOES NOT APPLY
9 NA
4652
SPWKBABY Label: Did spouse work with young children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORKED FULL-TIME
2 WORKED PART-TIME
3 STAYED HOME
8 DOES NOT APPLY
9 NA
4653
SPWRKSCH Label: Did spouse work with school age children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORKED FULL-TIME
2 WORKED PART-TIME
3 STAYED HOME
8 DOES NOT APPLY
9 NA
4654
SPWKGRWN Label: Did spouse work after children left home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORKED FULL-TIME
2 WORKED PART-TIME
3 STAYED HOME
8 DOES NOT APPLY
9 NA
4655
MEHHWORK Label: Men ought to do more hh work than they do now
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4656
MEKDCARE Label: Men ought to do more childcare than they do now
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4657
LAUNDRY1 Label: Who in household does laundry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always me
2 Usually me
3 About Equal or Both Together
4 Usually my spouse or partner
5 Always my spouse
6 Is done by a Third Person
8 Cannot choose
9 NO ANSWER
4658
REPAIRS1 Label: Who in household does small repairs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always me
2 Usually me
3 About Equal or Both Together
4 Usually my spouse or partner
5 Always my spouse
6 Is done by a Third Person
8 Cannot choose
9 NO ANSWER
4659
CARESIK1 Label: Who in household cares for sick in family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always me
2 Usually me
3 About Equal or Both Together
4 Usually my spouse or partner
5 Always my spouse
6 Is done by a Third Person
8 Cannot choose
9 NO ANSWER
4660
SHOP1 Label: Who in household shops for groceries
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always me
2 Usually me
3 About Equal or Both Together
4 Usually my spouse or partner
5 Always my spouse
6 Is done by a Third Person
8 Cannot choose
9 NO ANSWER
4661
CLEAN1 Label: Who in household does cleaning
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always me
2 Usually me
3 About Equal or Both Together
4 Usually my spouse or partner
5 Always my spouse
6 Is done by a Third Person
8 Cannot choose
9 NO ANSWER
4662
COOKING1 Label: Who in household prepares the meals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always me
2 Usually me
3 About Equal or Both Together
4 Usually my spouse or partner
5 Always my spouse
6 Is done by a Third Person
8 Cannot choose
9 NO ANSWER
4663
RHHWORK Label: How many hours a week does R spend on hh work
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or more
98 DONT KNOW
99 NO ANSWER
4664
SPHHWORK Label: How many hours a week does spouse on hh wrk
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NO ANSWER
4665
HHWKFAIR Label: Sharing of hh work between R and spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I do much more than my fair share of hh work
2 I do a bit more than my fair share of hh work
3 I do roughly my fair share of hh work
4 I do a bit less than my fair share of hh work
5 I do much less than my fair share of hh work
8 DONT KNOW
9 NO ANSWER
4666
HHWKDIS Label: How often R and spouse disagree sharing of hh wrk
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Several times a week
2 Several times a month
3 Several times a year
4 Less often or rarely
5 Never
8 Cannot choose
9 NO ANSWER
4667
DECKIDS Label: Who makes decision about how to bring up children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Mostly me
2 Mostly my spouse
3 Sometimes me or sometimes my spouse
4 We decide together
5 Someone else
8 Does not apply
9 NO ANSWER
4668
SPBORN Label: When was your spouse born
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
9998 Don't know
9999 No answer
4669
WEEKEND Label: Who has final say about choosing weekend activity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Mostly me
2 Mostly my spouse
3 Sometimes me or sometimes my spouse
4 We decide together
5 Someone else
8 DONT KNOW
9 NO ANSWER
4670
BUYTHNGS Label: Who has final say about buying things for home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Mostly me
2 Mostly my spouse
3 Sometimes me or sometimes my spouse
4 We decide together
5 Someone else
8 DONT KNOW
9 NO ANSWER
4671
TIMEHOME Label: Run out of time before getting things done at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4672
STRSSHME Label: Life at home is rarely stressful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4673
TIMEWORK Label: Run out of time before getting things done at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4674
STRSSWRK Label: Job Is Rarely stressful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4675
TIREDHME Label: Come home from work too tired to do the chores
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
6 Doesnt apply or no job
8 DONT KNOW
9 NO ANSWER
4676
JOBVSFAM Label: Difficult to fulfill fam responsibility bc of job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
6 Doesnt apply or no job
8 DONT KNOW
9 NO ANSWER
4677
TIREDWRK Label: Arrived at work too tired to function bc of hhwork
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
6 Doesnt apply or no job
8 DONT KNOW
9 NO ANSWER
4678
FAMVSWRK Label: Difficult to concentrate wrk bc of fam responsibility
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
6 Doesnt apply or no job
8 DONT KNOW
9 NO ANSWER
4679
HAPPY7 Label: How happy R is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Completely happy
2 Very happy
3 Fairly happy
4 Neither happy nor unhappy
5 Fairly unhappy
6 Very unhappy
7 Completely unhappy
8 Cannot choose
9 NO ANSWER
4680
SATJOB7 Label: Job satisfaction in general
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Completely satisfied
2 Very satisfied
3 Fairly satisfied
4 Neither satisfied nor dissatisfied
5 Fairly dissatisfied
6 Very dissatisfied
7 Completely dissatisfied
8 Cannot choose
9 NO ANSWER
4681
SATFAM7 Label: Family satisfaction in general
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Completely satisfied
2 Very satisfied
3 Fairly satisfied
4 Neither satisfied nor dissatisfied
5 Fairly dissatisfied
6 Very dissatisfied
7 Completely dissatisfied
8 Cannot choose
9 NO ANSWER
4682
FEWKNOKD Label: Women should work outside when no kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Work full-time
2 Work part-time
3 Stay at home
8 Cannot choose
9 NO ANSWER
4683
TWOINCS1 Label: Both men and women should contribute to income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly Agree
2 Agree
3 Neither Agree nor Disagree
4 Disgree
5 Strongly Disagree
8 Cannot choose
9 NO ANSWER
4684
EARNSHH Label: Hubby or wife earns more dollars
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Spouse has no income
2 I have much higher income
3 I have higher income
4 We have about the same income
5 Spouse has a higher income
6 Spouse partner has much higher income
7 I have no income
8 DONT KNOW
9 NO ANSWER
4685
SSFCHILD Label: Same sex female couple raise child as well as male-female couple
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree or disagree
4 Disagree
5 Strongly disagree
8 DON'T KNOW
9 No answer
4686
SSMCHILD Label: Same sex male couple raise child as well as male-female couple
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree or disagree
4 Disagree
5 Strongly disagree
8 DON'T KNOW
9 No answer
4687
KIDFINBU Label: Children are financial burden on parents
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree or disagree
4 Disagree
5 Strongly disagree
8 DON'T KNOW
9 No answer
4688
KIDJOB Label: Children limit emp and career opp for one or both parents
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree or disagree
4 Disagree
5 Strongly disagree
8 DON'T KNOW
9 No answer
4689
KIDSOCST Label: Having children increases social standing in society
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree or disagree
4 Disagree
5 Strongly disagree
8 DON'T KNOW
9 No answer
4690
ELDERSUP Label: Adult children are imp to help elderly parents
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree or disagree
4 Disagree
5 Strongly disagree
8 DON'T KNOW
9 No answer
4691
PAIDLV Label: Paid leave for childcare
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, enter months
2 No, there should be no paid leave
8 DON'T KNOW
9 No answer
4692
PAIDLV1 Label: Months of leave that should be available
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
98 DK
99 NA
4693
PAIDLVPY Label: Who pays for leave
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The government
2 The employer
3 Both government and the employer
4 Other sources
8 DON'T KNOW
9 No answer
4694
PAIDLVDV Label: Mother or father paid leave
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The mother should take the entire paid leave period and the father should not take any paid leave
2 The mother should take most of the paid leave period and the father should take some of it
3 The mother and the father should each take half of the paid leave period
4 The father should take most of the paid leave period and the mother should take some of it
5 The father should take the entire paid leave period and the mother should not take any paid leave
8 DON'T KNOW
9 No answer
4695
FAMWKBST Label: Best way to org family work life with under school age child
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The mother stays at home and the father works full-time
2 The mother works part-time and the father works full-time
3 Both the mother and father work full-time
4 Both the mother and father work part-time
5 The father works part-time and the mother works full-time
6 The father stays at home and the mother works full-time
8 DON'T KNOW
9 No answer
4696
FAMWKLST Label: WoR'st way to org family work life with under school age child
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The mother stays at home and the father works full-time
2 The mother works part-time and the father works full-time
3 Both the mother and father work full-time
4 Both the mother and father work part-time
5 The father works part-time and the mother works full-time
6 The father stays at home and the mother works full-time
8 DON'T KNOW
9 No answer
4697
CAREPROV Label: Who should provide childcare for under school age child
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Family members
2 Government agencies
3 Non-profit organizations (e.g., charitable organizations, churches/religious organizations)
4 Private childcare providers (e.g., private day care center, nanny, babysitter)
5 Employers
8 DON'T KNOW
9 No answer
4698
CARECOST Label: Who should pay for costs of care for under school age child
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The family
2 The government/public funds
3 The employers
8 DON'T KNOW
9 No answer
4699
ELDHELP Label: Who should provide help for elderly
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Family members
2 Government agencies
3 Non-profit organizations (e.g., charitable organizations, churches/religious organizations)
4 Private providers of this kind of help
8 DON'T KNOW
9 No answer
4700
ELDCOST Label: Who should pay for help for elderly
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 The elderly people themselves or their family
2 The government/public funds
8 DON'T KNOW
9 No answer
4701
HHCLEAN1 Label: Who does household cleaning
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always me
2 Usually me
3 About equal or both together
4 Usually my {#spousepartfill}
5 Always my {#spousepartfill}
6 Is done by a third person
8 DON'T KNOW
9 No answer
4702
WKNDACT Label: Who decides weekend activities
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Mostly me
2 Mostly my {#spousepartfill}
3 Sometimes me/sometimes my {#spousepartfill}
4 We decide together
5 Someone else
8 DON'T KNOW
9 No answer
4703
TIREDHM1 Label: How often too tired to do housework
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 Doesn’t apply/no job
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
8 DON'T KNOW
9 No answer
4704
JOBVSFA1 Label: How often jobtakes too much time to fulfill family resp
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 Doesn’t apply/no job
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
8 DON'T KNOW
9 No answer
4705
TIREDWK1 Label: How often too tired from housework to do job well
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 Doesn’t apply/no job
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
8 DON'T KNOW
9 No answer
4706
FAMVSWK1 Label: How often difficult to conc at work because family resp
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 Doesn’t apply/no job
1 Several times a week
2 Several times a month
3 Once or twice
4 Never
8 DON'T KNOW
9 No answer
4707
WKKIDSCL Label: Did R work outside home with child under school age
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Worked full-time
2 Worked part-time
3 Stayed at home
8 DON'T KNOW
9 No answer
4708
WKYNGSCL Label: Did R work outside home after child started school
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Worked full-time
2 Worked part-time
3 Stayed at home
8 DON'T KNOW
9 No answer
4709
WKKIDSCS Label: Did partner work outside home with child under school age
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Worked full-time
2 Worked part-time
3 Stayed at home
8 DON'T KNOW
9 No answer
4710
WKYNGSCS Label: Did partner work outside home after child started school
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Worked full-time
2 Worked part-time
3 Stayed at home
8 DON'T KNOW
9 No answer
4711
RFAMLOOK Label: Hours R spends looking after family members
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
1 1 hour
97 97 hours or more
98 DK
99 NA
4712
SPFALOOK Label: Hours spouse spends looking after family members
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
1 1 hour
97 97 hours or more
98 DK
99 NA
4713
SPLIVE Label: How long been living with spouse
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
1 1 year
98 DK
99 NA
4714
TIMEPDWK Label: Time R would spend on paid work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 SPEND MUCH MORE
2 SPEND A BIT MORE
3 SPEND SAME
4 SPEND A BIT LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4715
TIMEHHWK Label: Time R would spend on household work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 SPEND MUCH MORE
2 SPEND A BIT MORE
3 SPEND SAME
4 SPEND A BIT LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4716
TIMEFAM Label: Time R would spend on family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 SPEND MUCH MORE
2 SPEND A BIT MORE
3 SPEND SAME
4 SPEND A BIT LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4717
TIMEFRND Label: Time R would spend on friends
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 SPEND MUCH MORE
2 SPEND A BIT MORE
3 SPEND SAME
4 SPEND A BIT LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4718
TIMELEIS Label: Time R would spend on leisure
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 SPEND MUCH MORE
2 SPEND A BIT MORE
3 SPEND SAME
4 SPEND A BIT LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4719
TIMERELX Label: Time R would spend relaxing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 SPEND MUCH MORE
2 SPEND A BIT MORE
3 SPEND SAME
4 SPEND A BIT LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
4720
WRKEARN Label: Job is just a way to earn money
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4721
WRKENJOY Label: Enjoy job even if $ not needed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4722
WRKIMP Label: Work is persons most impt. activity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4723
HWDUTIES Label: Is R mainly respons.for hh chores?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 YES I RESPONSIBLE
2 YES ME AND OTHER
3 NO SOMEONE ELSE
8 DONT KNOW
9 NA
4724
YRSFIRM Label: Importance of tenure to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4725
DOWELL Label: Importance of performance to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4726
EXPERNC Label: Importance of experience to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4727
PAYSAME Label: Importance of standard rates to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4728
AGEEMP Label: Importance of age to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4729
SEXEMP Label: Importance of gender to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4730
FAMRESP Label: Importance of family resps. to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4731
EDUCEMP Label: Importance of educ & qualif. to pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4732
DK Label: Don't know response to pay items
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 DK CHOSEN
2 NOT CHOSEN
9 NA
4733
BOSSWRKS Label: Management & workers always in conflict
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4734
STRNGUN Label: Strong unions needed to protect workers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4735
SECJOB Label: Importance of job security in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4736
HIINC Label: Importance of high pr income in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4737
PROMOTN Label: Importance of advancement in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4738
LEISURE Label: Importance of leisure time in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4739
INTJOB Label: Importance of interesting work in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4740
WRKINDP Label: Importance of independent work in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4741
HLPOTHS Label: Importance of helping others in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4742
HLPSOC Label: Importance of social usefulness in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4743
FLEXHRS Label: Importance of flexible hrs. in a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY IMPT
2 IMPT
3 NEITHER
4 NOT IMPT
5 NOT IMPT AT ALL
8 CANT CHOOSE
9 NA
4744
FLEXHRS1 Label: Importance of flexible hrs. at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Important
3 Neither important nor unimportant
4 Not important
5 Not important at all
8 DK
9 NA
4745
WKPERSNL Label: Importance of Personal contact at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very important
2 Important
3 Neither important nor unimportant
4 Not important
5 Not important at all
8 DK
9 NA
4746
FAMORJOB Label: Would you sacrifice job opportunities for family
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, I have done so and probably would do so again
2 Yes, I have done so but probably would not do so again
3 No, I have not done so but probably would do so
4 No, I have not done so and probably would not do so
8 DK
9 NA
4747
JOBORFAM Label: Would you remain in unsatisfying job for family
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, I have done so and probably would do so again
2 Yes, I have done so but probably would not do so again
3 No, I have not done so but probably would do so
4 No, I have not done so and probably would not do so
8 DK
9 NA
4748
DISCWK5 Label: Discrimination at work in past 5 yrs
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 Did not work or did not seek work
8 DK
9 NA
4749
WHYDISC5 Label: Why were you discriminated against
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 My age
2 My race, ethnicity
3 My nationality
4 My sex
5 My religion
6 My disability/mental or physical illness
7 My family responsibilities
8 My political beliefs
9 Other reason
98 DK
99 NA
4750
HARASS5 Label: Harassment at work in past 5 yrs
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
3 Does not apply (I do not have a job/superior/co-worker)
8 DK
9 NA
4751
UNIONSBD Label: Strong trade unions are bad for us economy
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4752
RCONTACT Label: Do you have Personal contact at work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4753
WKATHOME Label: How often do you work from home
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always
2 Often
3 Sometimes
4 Hardly ever
5 Never
8 DK
9 NA
4754
WKWKENDS Label: Do you work weekends
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always
2 Often
3 Sometimes
4 Hardly ever
5 Never
8 DK
9 NA
4755
DECIDWRK Label: How are your working hours decided
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Starting and finishing times are decided by my employer and I cannot change them on my own
2 I have a schedule or shift which regularly changes (for example, from days to evenings or to nights)
3 I have a schedule where daily working times are decided at short notice by my employer
4 4. Hardly ever, or
5 5. Never?
8 DK
9 NA
4756
WRKSHIFT Label: What is your working schedule
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have a regular schedule or shift (daytime, evening, or night)
2 I have a schedule or shift which regularly changes (for example, from days to evenings or to nights)
3 I have a schedule where daily working times are decided at short notice by my employer
8 DK
9 NA
4757
CHNGEWRK Label: I would change my work for something different
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4758
NOUNEMP5 Label: I would move within the usa for work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4759
NOUNEMP6 Label: I would move outside the usa for work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4760
EXTRAWRK Label: Did you work multiple jobs in past yr
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, during all of that period
2 Yes, during most of that period
3 Yes, during some of that period
4 No
8 DK
9 NA
4761
EXTRAERN Label: How much earned from additional jobs in past yr
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Much less than from main job
2 Less than from main job
3 About the same as from main job
4 More than from main job
5 Much more than from main job
8 DK
9 NA
4762
JBENDYR Label: Year last paid job ended
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
8 DON'T KNOW
9 REFUSED
9998 DK
9999 NA
4763
JBENDMO Label: Month last paid job ended
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
-3 NO ANSWER
-2 DON'T KNOW
-1 REFUSED
0 IAP
1 January
2 February
3 March
4 April
5 May
6 June
7 July
8 August
9 September
10 October
11 November
12 December
98 DK
99 NA
4764
EXJOBSAT Label: Satisfaction with past job
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Completely satisfied
2 Very satisfied
3 Fairly satisfied
4 Neither satisfied nor dissatisfied
5 Fairly dissatisfied
6 Very dissatisfied
7 Completely dissatisfied
98 DK
99 NA
4765
WORNOJOB Label: Do you worry about not finding job
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I worry a great deal
2 I worry to some extent
3 I worry a little
4 I don’t worry at all
8 DK
9 NA
4766
NEWSKILL Label: I would accept job that requires new skills
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4767
LOWPAY Label: I would accept job for lower pay
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4768
TEMPWORK Label: I would accept temporary employment
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4769
MORTRAVL Label: I would accept a longer commute
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4770
MOVEINUS Label: I would move within the usa for work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4771
MOVEAWAY Label: I would move outside the usa for work
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DK
9 NA
4772
ECONSUP1 Label: Main source of economic support
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Current spouse/partner
2 Other family members
3 Pension (private or government)
4 Unemployment benefits
5 Social assistance/welfare
6 Occasional work
7 Student loans/stipends
8 Savings
9 Investments or rental income
10 Other
98 DK
99 NA
4773
WORECSUP Label: Do you worry about losing economic support
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I worry a great deal
2 I worry to some extent
3 I worry a little
4 I don’t worry at all
8 DK
9 NA
4774
UNPEOPLE Label: Rank of no people contact when unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 WORST
2 2ND WORST
3 3RD WORST
4 NOT CHOSEN
8 DK
9 NA
4775
UNMONEY Label: Rank of shortage of money when unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 WORST
2 2ND WORST
3 3RD WORST
4 NOT CHOSEN
8 DK
9 NA
4776
UNSLFCON Label: Rank of loss of confide. when unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 WORST
2 2ND WORST
3 3RD WORST
4 NOT CHOSEN
8 DK
9 NA
4777
UNRESPCT Label: Rank of loss of respect when unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 WORST
2 2ND WORST
3 3RD WORST
4 NOT CHOSEN
8 DK
9 NA
4778
UNFAMTEN Label: Rank of family tensions when unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 WORST
2 2ND WORST
3 3RD WORST
4 NOT CHOSEN
8 DK
9 NA
4779
UNJOBEXP Label: Rank of how to spend time when unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 WORST
2 2ND WORST
3 3RD WORST
4 NOT CHOSEN
8 DK
9 NA
4780
UNBORED Label: Rank of boredom when unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 WORST
2 2ND WORST
3 3RD WORST
4 NOT CHOSEN
8 DK
9 NA
4781
UNDK Label: Don't know response to unemployment items
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 DK CHOSEN
2 NOT CHOSEN
8 DONT KNOW
9 NA
4782
EMPSELF Label: Does R prefer self-employment or not ?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 EMPLOYEE
2 SELF-EMPLOY
8 CANT CHOOSE
9 NA
4783
SMALLBIG Label: R preference re: firm size in
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 SMALL
2 BIG
8 CANT CHOOSE
9 NA
4784
INDUSOTH Label: R preference re: manufacture service, etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MANUFACTURE
2 OFFICE, SALES, ETC
8 CANT CHOOSE
9 NA
4785
PRIVGOVT Label: R preference re: private public sector
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 PRIVATE FIRM
2 GOVT
8 CANT CHOOSE
9 NA
4786
WORKWEEK Label: Does R work at least 10 hrs/wk
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 YES
2 NO
3 NOT WORKING
9 NA
4787
WANTJOB Label: Would R like a job now
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NOISSP
1 WANT FULL
2 WANT PART
3 WANT LT 10 HRS
4 DONT WANT
8 DONT WANT
9 NA
4788
FINDJOB Label: Could R find a job <unemployed R's>
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY EASY
2 FAIRLY EASY
3 NEITHER
4 FAIRLY DIFFICULT
5 VERY DIFFICULT
8 CANT CHOOSE
9 NA
4789
IWRKHARD Label: How hard Does R work at job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ONLY MINIMUM
2 NOT TO INTERFERE
3 REAL HARD
8 CANT CHOOSE
9 NA
4790
HRSMONEY Label: R preference re: work hrs and money
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MORE HRS & MONEY
2 SAME AND SAME
3 FEWER AND LESS
8 CANT CHOOSE
9 NA
4791
RYRSFIRM Label: Importance of tenure
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4792
RDOWELL Label: Importance of performance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4793
RPAYSAME Label: Importance of standard rates
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4794
REXPERNC Label: Importance of experience
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4795
RAGEEMP Label: Importance of age
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4796
RFAMRESP Label: Importance of family resps.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4797
REDUCEMP Label: Importance of educ. & formal qual.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 MOST IMPT
2 2ND MOST IMPT
3 3RD MOST IMPT
4 NOT CHOSEN
8 DK
9 NA
4798
RDK Label: Don't know response to unemployment items
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 DK CHOSEN
2 NOT CHOSEN
8 DONT KNOW
9 NA
4799
RSECJOB Label: R's job is secure
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4800
RHIINC Label: R's income is high
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4801
RPROMOTN Label: R has opportunity to advance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4802
RLEISURE Label: R's job leaves much leisure time
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4803
RINTJOB Label: R's job is interesting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4804
RWRKINDP Label: R can work independently
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4805
RHLPOTHS Label: R helps others in job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4806
RHLPSOC Label: R's job is useful to society
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4807
RFLEXHRS Label: R's job has flexible hrs.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 STRONGLY AGREE
2 AGREE
3 NEITHER
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
4808
XHAUSTN Label: How often does work exhaust r
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 HARDLY EVER
5 NEVER
8 CANT CHOOSE
9 NA
4809
PHYSWRK Label: How often must R do physical work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 HARDLY EVER
5 NEVER
8 CANT CHOOSE
9 NA
4810
STRESS Label: How often Does R find work stressful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 HARDLY EVER
5 NEVER
8 Can't choose/Don't know
9 NA
4811
BOREDOM Label: How often Is R bored at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 HARDLY EVER
5 NEVER
8 CANT CHOOSE
9 NA
4812
DANGER Label: How often Does R work in dangerous conds
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 HARDLY EVER
5 NEVER
8 CANT CHOOSE
9 NA
4813
UNHLTHY Label: How often Does R work in unhealthy conds
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 HARDLY EVER
5 NEVER
8 CANT CHOOSE
9 NA
4814
UNPLEZNT Label: How often Does R work in unpleasant conds
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 HARDLY EVER
5 NEVER
8 CANT CHOOSE
9 NA
4815
PLANWRK Label: How much can R plan daily work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 PLANS MOST
2 PLANS PART
3 CANT PLAN
9 NA
4816
FINDWORK Label: Could R find a job <employed R's>
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY EASY
2 FAIRLY EASY
3 NEITHER
4 FAIRLY DIFFICULT
5 VERY DIFFICULT
8 CANT CHOOSE
9 NA
4817
BOSSEMPS Label: Quality of mgmnt-employee rels: R's firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY GOOD
2 QUITE GOOD
3 NEITHER
4 QUITE BAD
5 VERY BAD
8 CANT CHOOSE
9 NA
4818
COWRKERS Label: Quality of rels among workers: R's firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 VERY GOOD
2 QUITE GOOD
3 NEITHER
4 QUITE BAD
5 VERY BAD
8 CANT CHOOSE
9 NA
4819
JOBSAT Label: How satisfied Is R with his/her job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 COMPLETELY SAT
2 VERY SAT
3 FAIRLY SAT
4 NEITHER
5 FAIRLY DISSAT
6 VERY DISSAT
7 COMPLETELY DISSAT
8 CANT CHOOSE
9 NA
4820
SUPERVIS Label: Does R supervise others at work in main job
Format: F1.0
Measure: Nominal
Display Width: 8
Value Label
0 NO ISSP
1 SUPERVISES
2 DOESNT SUPERVISE
8 DK
9 NA
4821
SUPRVSJB Label: Does R supervise others at work
Format: F8.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DON'T KNOW
9 No answer
4822
SUPNUM Label: Number of workers R supervises
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 NO ISSP
999 NA
4823
MOONLITE Label: Does R have a second job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 YES, REGULARLY
2 YES, SOMETIMES
3 NO
9 NA
4824
OTHHRS Label: Hours R spends at other job<s>
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 NO ISSP
98 DONT KNOW
99 NA
4825
NUMSITES Label: Does R's firm have more than one location
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 YES
2 NO
9 NA
4826
LOCALNUM Label: Number of employees: R's work site
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1-9
2 10-49
3 50-99
4 100-499
5 500-999
6 1,000-1,999
7 2,000+
8 DONT KNOW
9 NA
4827
TOTALNUM Label: Number of employees: R's entire firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 1-9
2 10-49
3 50-99
4 100-499
5 500-999
6 1,000-1,999
7 2,000 - 9,999
8 10,000+
9 DONT KNOW-NA
4828
EMPLOYER Label: Does R employ others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 YES
2 NO
9 NA
4829
NUMEMPLY Label: Number of persons R employs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 NO ISSP
1 1-9
2 10-49
3 50-99
4 100-499
5 500-999
6 1,000-1,999
7 2,000+
8 DONT KNOW
9 NA
4830
PAYDOJOB Label: How important job well done in deciding pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4831
PAYFAM Label: How important family responsibility in deciding p
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4832
PAYEDUC Label: How important education in deciding pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4833
PAYTIME Label: How important be long with the firm in deciding p
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL
2 VERY IMPORTANT
3 FAIRLY IMPORTANT
4 NOT VERY IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4834
TECHJOBS Label: New techs increase number of jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATLY INCREASE
2 SLIGHT INCREASE
3 NO DIFFERENCE TO
4 SLIGHTLY REDUCE
5 GREATLY REDUCE
8 CANT CHOOSE
9 NA
4835
TECHWORK Label: New techs make work more interesting
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH MORE
2 LITTLE MORE
3 NEITHER MRE/LESS
4 A LITTLE LESS
5 MUCH LESS
8 CANT CHOOSE
9 NA
4836
WANTJOB1 Label: Which job would you prefer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A FULL TIME JOB
2 A PART-TIME JOB
3 JOB LESS 10/WK
4 NO PAID JOB
8 DONT KNOW
9 NA
4837
WORKNOW Label: Are you currently working for pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
4838
SETHOURS Label: Who set working hours
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EMPLOYER DECIDES
2 I DECIDE W/LIMTS
3 FREE TO DECIDE
8 DK
9 NA
4839
PLACEWRK Label: Where do you work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IN 1 PLACE AWAY
2 AT HOME
3 PART HOME/ AWAY
4 VARIETY PLACES
8 DK
9 NA
4840
WKTENURE Label: Describe your present job situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO WRITTN CNTRCT
2 FIXED LESS 1 YR
3 FIXED MORE 1 YR
4 JOB NO TME LIMIT
8 CANT CHOOSE
9 NA
4841
USESKILL Label: How much past skills can you make use in present
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALMOST NONE
2 A LITTLE
3 A LOT
4 ALMOST ALL
8 CANT CHOOSE
9 NA
4842
EDCSKILL Label: How important school in developing skills
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 NOT UN/IMPORTNT
4 NOT IMPORTANT
5 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
4843
JOBSKILL Label: How important training in developing skills
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 IMPORTANT
3 NOT IMPT/UNIMP
4 NOT IMPORTANT
5 NOT IMPRT AT ALL
8 CANT CHOOSE
9 NA
4844
HELPORG1 Label: Willing to work harder for the firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4845
PRIDEORG Label: I am proud working for my firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
4846
CHNGWORK Label: I would change my job for something else
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4847
STAYORG3 Label: I would turn down job offering more pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4848
PROUDWRK Label: I am proud of the type of work I do
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4849
ABSENT Label: How many days absent from work past 6 month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MORE THN 20 DAYS
2 11 TO 20 DAYS
3 6 TO 10 DAYS
4 1 TO 5 DAYS
5 NONE
8 CANT CHOOSE
9 NA
4850
LEAVEJOB Label: How likely will try to find another firm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 LIKELY
3 UNLIKELY
4 VERY UNLIKELY
8 CANT CHOOSE
9 NA
4851
WORRYJOB Label: Do you worry about losing job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORRY GREAT DEAL
2 WORRY SOME XTENT
3 WORRY A LITTLE
4 DONT WORRY
8 DONT KNOW
9 NA
4852
EVJOB Label: Have you ever had a paid job for 1 year or+
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
4853
YRJOBEND Label: When did your last paid job end
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 9998; 9999
Value Label
-1 IAP
9998 Don't know
9999 No answer
4854
WHYJBEND Label: Main reason your job end
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 0
Value Label
-1 IAP
0 DK NA
1 I REACHED AGE
2 EARLY BY CHOICE
3 EARLY NOT CHOICE
4 PERMNENT DISABLD
5 WORK SHUT DOWN
6 I WAS DISMISSED
7 CONTRACT ENDED
8 FAMILY RESPONS
9 I GOT MARRIED
4855
WANTJOB2 Label: Would like to have a job now or in the future
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
4856
GETJOB Label: How likely you would find a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 LIKELY
3 UNLIKELY
4 VERY UNLIKELY
8 CANT CHOOSE
9 NA
4857
LOOKJOB Label: Are you looking for a job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
4858
PUBAGNCY Label: Registered at a public employment agency
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES ONCE/TWICE
3 YES MORE THAN 2
8 DK
9 NA
4859
PRIAGNCY Label: Registered at a private employment agency
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES ONCE/TWICE
3 YES MORE THAN 2
8 DK
9 NA
4860
WANTADS Label: Answered advertisements for jobs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES ONCE/TWICE
3 YES MRE THN TWCE
8 DK
9 NA
4861
ADFORJOB Label: Advertised for a job in newspapeR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES ONCE/TWICE
3 YES MRE THN TWCE
8 DK
9 NA
4862
APPEMPS Label: Applied directly to employers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES ONCE/TWICE
3 YES MRE THN TWCE
8 DK
9 NA
4863
ASKHELP Label: Asked relatives friends colleagues to help
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES ONCE OR TWCE
3 YES MRE THN TWCE
8 DONT KNOW
9 NA
4864
ECONSUP Label: Main source of economic support
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PNSION PRI/ST/SS
2 UNEMPLOY BENFITS
3 SPOUSE/PARTNER
4 OTHR FAMLY MMBRS
5 SOC ASSIS/WELFRE
6 OCCASIONAL WORK
7 OTHER
8 DONT KNOW
9 NA
4865
SELFEMP1 Label: Employee have more job security than the self-employed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4866
SELFEMP2 Label: Being employee interfere more with family life than self-employment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4867
UNJOBSEC Label: Unions are very important for job security
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4868
UNBETTER Label: Working condition would be much worse without unions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4869
RIMPSKLS Label: Job gives R chance to improve skills
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4870
DAILYWRK Label: How R's daily work is organized
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I am free to decide how my daily work is organized
2 I can decide within certain limits
3 I am not free to decide how my daily work is organized
8 CANT CHOOSE
9 NA
4871
TIMEOFF Label: How difficult R takes an hour off during working hours
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not difficult at all
2 Not too difficult
3 Somewhat difficult
4 Very difficult
8 CANT CHOOSE
9 NA
4872
JBINTFAM Label: How often R felt: demand of job interfere with family life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always
2 Often
3 Sometimes
4 Hardly ever
5 Never
8 CANT CHOOSE
9 NA
4873
FAMINTJB Label: How often R felt: demand of family life interfere with job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always
2 Often
3 Sometimes
4 Hardly ever
5 Never
8 CANT CHOOSE
9 NA
4874
NEWJOB Label: How helpful present work skill would be for new job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very helpful
2 Quite helpful
3 Not so helpful
4 Not helpful at all
8 CANT CHOOSE
9 NA
4875
JBTRAIN Label: Did R have any training to improve job skill past 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 CANT CHOOSE
9 NA
4876
JOBEASY Label: How easy if R find a job as good as current one
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very easy
2 Fairly easy
3 Neither easy nor difficult
4 Fairly difficult
5 Very difficult
8 CANT CHOOSE
9 NA
4877
REPLACEU Label: How easy R's firm replaces R if R left
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Very easy
2 Fairly easy
3 Neither easy nor difficult
4 Fairly difficult
5 Very difficult
8 CANT CHOOSE
9 NA
4878
NOUNEMP1 Label: R would accept job requiring new skill to avoid unemployment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4879
NOUNEMP2 Label: R would accept position with lower pay to avoid unemployment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4880
NOUNEMP3 Label: R would accept temporary employment to avoid unemployment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4881
NOUNEMP4 Label: R would accept travel longer to work to avoid unemployment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
4882
OTHERWRK Label: Does R have any additional job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 No
2 Yes, mostly as an employee
3 Yes, mostly on a self-employed basis
4 Yes, other
8 CANT CHOOSE
9 NA
4883
SKLTRAIN Label: R had job skill training in thepast 12 months
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
4884
SPWRKGVT Label: Spouse working for government
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVERNMENT
2 PRIVATE EMPLOYER
8 DONT KNOW
9 NO ANSWER
4885
HAPUNHAP Label: Happy or unhappy with life today
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY HAPPY
2 FAIRLY HAPPY
3 NOT VERY HAPPY
4 NOT AT ALL HAPPY
8 DK
9 NA
4886
STIFFPUN Label: Lawbreakers should get stiffer sentences
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4887
DEATHPEN Label: Murderers should get death penalty
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4888
PREMARS1 Label: Is premarital sex wrong?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMOST ALWAYS WRONG
3 WRONG ONLY SOMETIMES
4 NOT WRONG AT ALL
8 DK
9 NA
4889
XMARSEX1 Label: Is extramarital sex wrong?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMOST ALWAYS WRONG
3 WRONG ONLY SOMETIMES
4 NOT WRONG AT ALL
8 DK
9 NA
4890
HOMOSEX1 Label: Is homosexual sex wrong?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMOST ALWAYS WRONG
3 WRONG ONLY SOMETIMES
4 NOT WRONG AT ALL
8 DK
9 NA
4891
ABDEFCT1 Label: Law should allow abortion for birth defects
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD ALLOW IT
2 PROBABLY SHOULD ALLOW IT
3 PROBABLY SHOULD NOT ALLOW IT
4 DEFINITELY SHOULD NOT ALLOW IT
8 DK
9 NA
4892
ABPOOR1 Label: Law should allow abortion if family low income
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD ALLOW IT
2 PROBABLY SHOULD ALLOW IT
3 PROBABLY SHOULD NOT ALLOW IT
4 DEFINITELY SHOULD NOT ALLOW IT
8 DK
9 NA
4893
ABDEFCTW Label: Wrong for woman to get abortion for birth defects
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMOST ALWAYS WRONG
3 WRONG ONLY SOMETIMES
4 NOT WRONG AT ALL
8 DK
9 NA
4894
ABPOORW Label: Wrong for woman to get abortion if low income?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS WRONG
2 ALMOST ALWAYS WRONG
3 WRONG ONLY SOMETIMES
4 NOT WRONG AT ALL
8 DK
9 NA
4895
TAXCHEAT Label: Wrong to cheat on taxes?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT WRONG
2 A BIT WRONG
3 WRONG
4 SERIOUSLY WRONG
8 DK
9 NA
4896
GOVCHEAT Label: Wrong to give govt false info for benefits?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT WRONG
2 A BIT WRONG
3 WRONG
4 SERIOUSLY WRONG
8 DK
9 NA
4897
CONCONG Label: Confidence in us congress
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
2 A GREAT DEAL OF CONFIDENCE
3 SOME CONFIDENCE
4 VERY LITTLE CONFIDENCE
5 NO CONFIDENCE AT ALL
8 DK
9 NA
4898
CONBIZ Label: Confidence in business and industry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
2 A GREAT DEAL OF CONFIDENCE
3 SOME CONFIDENCE
4 VERY LITTLE CONFIDENCE
5 NO CONFIDENCE AT ALL
8 DK
9 NA
4899
CONGOVT Label: Confidence in government departments
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
2 A GREAT DEAL OF CONFIDENCE
3 SOME CONFIDENCE
4 VERY LITTLE CONFIDENCE
5 NO CONFIDENCE AT ALL
8 DK
9 NA
4900
CONCHURH Label: Confidence in churches and religious orgs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
2 A GREAT DEAL OF CONFIDENCE
3 SOME CONFIDENCE
4 VERY LITTLE CONFIDENCE
5 NO CONFIDENCE AT ALL
8 DK
9 NA
4901
CONCOURT Label: Confidence in courts and legal system
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
2 A GREAT DEAL OF CONFIDENCE
3 SOME CONFIDENCE
4 VERY LITTLE CONFIDENCE
5 NO CONFIDENCE AT ALL
8 DK
9 NA
4902
CONSCHLS Label: Confidence in schools and educ system
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COMPLETE CONFIDENCE
2 A GREAT DEAL OF CONFIDENCE
3 SOME CONFIDENCE
4 VERY LITTLE CONFIDENCE
5 NO CONFIDENCE AT ALL
8 DK
9 NA
4903
POLSGOD Label: Atheists shouldn't hold public office
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4904
CLERGVTE Label: Clergy shouldn't try to influence voters
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4905
RELIGPUB Label: Better if more believers held public office
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4906
CLERGGOV Label: Clergy shouldn't try to influence govt decisions
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4907
CHURHPOW Label: Do churches have too much power?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAR TOO MUCH PWR
2 TOO MUCH POWER
3 RIGHT AMOUNT PWR
4 TOO LITTLE POWER
5 FAR TOO LITL PWR
8 CANT CHOOSE
9 NA
4908
GODCHNGE Label: Describe your beliefs about god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DON'T BELIEVE NOW, NEVER HAVE
2 DON'T BELIEVE NOW, USED TO
3 BELIEVE NOW, DIDN'T USED TO
4 BELIEVE NOW, ALWAYS HAVE
8 DK
9 NA
4909
AFTERLIF Label: Belief in life after death
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, DEFINITELY
2 YES, PROBABLY
3 NO, PROBABLY NOT
4 NO, DEFINITELY NOT
8 DK
9 NA
4910
DEVIL Label: Belief in the devil
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, DEFINITELY
2 YES, PROBABLY
3 NO, PROBABLY NOT
4 NO, DEFINITELY NOT
8 DK
9 NA
4911
HEAVEN Label: Belief in heaven
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, DEFINITELY
2 YES, PROBABLY
3 NO, PROBABLY NOT
4 NO, DEFINITELY NOT
8 DK
9 NA
4912
HELL Label: Belief in hell
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, DEFINITELY
2 YES, PROBABLY
3 NO, PROBABLY NOT
4 NO, DEFINITELY NOT
8 DK
9 NA
4913
MIRACLES Label: Belief in religious miracles
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, DEFINITELY
2 YES, PROBABLY
3 NO, PROBABLY NOT
4 NO, DEFINITELY NOT
8 DK
9 NA
4914
BIBLE1 Label: Describe your feelings about the bible
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORD OF GOD, TAKE LITERALLY
2 GOD-INSPIRED, SHOULDN'T TAKE LITERALLY
3 BOOK OF FABLES, BY MAN
4 THIS DOES NOT APPLY TO ME
8 DK
9 NA
4915
THEISM Label: God concerned with human beings Personally
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4916
FATALISM Label: People can't change the course of their lives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4917
GODMEANS Label: Life meaningful because god exists
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4918
NIHILISM Label: Life serves no purpose
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4919
PREDETER Label: God decides the course of our lives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4920
EGOMEANS Label: Life meaningful only if you provide meaning
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4921
OWNFATE Label: We each make our own fate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4922
RELEXPER Label: Turning point in life for religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
4923
MARELKID Label: Mothers religion when R was child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 ORTHODOX GREEK, RUSSIAN, ETC
5 MOSLEM
6 OTHER -SPECIFY
7 NO RELIGION
8 DK
9 NA
4924
MADENKID Label: If protestant, Mothers denomination
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99998; 99999
Value Label
0 IAP
10000 AMER BAPTIST ASSOC
11000 AMER BAPTIST CH IN USA
12000 NATL BAPTIST CONV. OF AMERICA
13000 NATL BAPTIST CONV., USA, INC
14000 SOUTHERN BAPTIST CONV
15000 OTHER BAPTIST CHS
18000 BAPTIST, DK WHICH
20000 AFRICAN METH EPIS CH
21000 AME ZION CHURCH
22000 UNITED METH CHURCH
23000 OTHER METH CH
28000 METHODIST, DK WHICH
30000 AMER LUTHERAN CH
31000 LUTH CH IN AMER
32000 LUTH CH--MO SYNOD
33000 WISC EVAN LUTH SYNOD
34000 OTHER LUTH CHS
35000 EVAN LUTHERAN
38000 LUTHERAN, DK WHICH
40000 PRESBYT CH IN USA
41000 UNITED PRESBYT CH IN USA
42000 OTHER PRESBYT CHS
43000 PRESBYT CH USA
48000 PRESBYTERIAN, DK WHICH
50000 EPISCOPAL CHURCH
60002 EVANGELIGAL CONGREGATIONAL
60003 IND. BIBLE FELLOWSHIP
60006 NEW TESTAMENT CHRISTIAN
60008 MORAVIAN
60009 CHRIST. AND MISSION. ALLIANCE
60010 ADVENTIST
60012 ASSEMBLY OF GOD
60013 FREE METHODIST
60014 APOSTOLIC
60015 AFRICAN METHODIST
60016 FREE WILL BAPTIST
60018 HOLINESS, NAZARENE
60020 BRETHREN CHURCH
60023 UNITED BRETHREN, BRETH. IN CHRIST
60024 INDEPENDENT
60031 CHRISTIAN; CENTRAL CHRISTIAN
60032 CHRISTIAN REFORM
60033 CHRISTIAN SCIENTIST
60035 CHURCH OF CHRIST
60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS
60037 CHURCH OF GOD IN CHRIST
60038 HOLINESS
60040 CONGREGATIONALIST, 1ST CONG
60041 COMMUNITY CHURCH
60042 COVENANT
60043 DUTCH REFORM
60044 DISCIPLES OF CHRIST
60045 EVANGELICAL, EVANGELIST
60046 EVANGELICAL REFORMED
60047 EVANGELIST FREE CHURCH
60048 FIRST CHURCH
60049 1ST CHRISTIAN DISC OF CHRIST
60050 1ST REFORMED
60051 1ST CHRISTIAN
60052 FULL GOSPEL
60056 HOLINESS; CH OF HOLINESS
60057 PILGRIM HOLINESS
60058 JEHOVAH WITNESSES
60059 LDS
60060 LDS--MORMON
60061 LDS--REORGANIZED
60062 LDS--JESUS CHRIST; CH OF JESUS LDS
60063 MENNONITE
60064 MORMON
60065 NAZARENE
60066 PENTECOSTAL ASSEMBLY OF GOD
60068 PENTECOSTAL
60070 QUAKER
60071 REFORMED
60076 SALVATION ARMY
60077 7TH DAY ADVENTIST
60078 SANCTIFIED, SANCTIFICATION
60080 UNITARIAN, UNIVERSALIST
60081 UNITED CHURCH OF CHRIST
60082 UNITED CHURCH, UNITY CHURCH
60083 WESLEYAN
60084 WESLEYAN METHODIST--PILGRIM
60092 MISSION COVENANT
60093 MISSIONARY BAPTIST
60097 OTHER FUNDAMENTALIST
60098 FEDERATED CHURCH
60102 CHARISMATIC CHRISTIAN
60112 EVANGELIGAL METHODIST
60113 WORLDWIDE CHURCH OF GOD
60117 MISSIONARY
60119 UNITED CHURCH OF CANADA
60120 EVANGELICAL UNITED BRETHREN
60133 PRIMITIVE BAPTIST
60138 APOSTOLIC CHURCH
60141 NEW BIRTH CHRISTIAN
60149 POLISH CATHOLIC
60150 ZWINGLIAN
60156 LIVING CHURCH OF GOD
60181 CHRISTIAN BORN AGAIN
60184 CHURCH OF GOD ISRAELITE
70000 NO DENOM. GIVEN OR NON-DENOM CH
99998 DK
99999 NA
4925
PARELKID Label: Father's religion when R was child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 ORTHODOX GREEK, RUSSIAN, ETC
5 MOSLEM
6 OTHER -SPECIFY
7 NO RELIGION
8 DK
9 NA
4926
PADENKID Label: If protestant, Father's denomination
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99998; 99999
Value Label
0 IAP
10000 AMER BAPTIST ASSOC
11000 AMER BAPTIST CH IN USA
12000 NATL BAPTIST CONV. OF AMERICA
13000 NATL BAPTIST CONV., USA, INC
14000 SOUTHERN BAPTIST CONV
15000 OTHER BAPTIST CHS
18000 BAPTIST, DK WHICH
20000 AFRICAN METH EPIS CH
21000 AME ZION CHURCH
22000 UNITED METH CHURCH
23000 OTHER METH CH
28000 METHODIST, DK WHICH
30000 AMER LUTHERAN CH
31000 LUTH CH IN AMER
32000 LUTH CH--MO SYNOD
33000 WISC EVAN LUTH SYNOD
34000 OTHER LUTH CHS
35000 EVAN LUTHERAN
38000 LUTHERAN, DK WHICH
40000 PRESBYT CH IN USA
41000 UNITED PRESBYT CH IN USA
42000 OTHER PRESBYT CHS
43000 PRESBYT CH USA
48000 PRESBYTERIAN, DK WHICH
50000 EPISCOPAL CHURCH
60002 EVANGELIGAL CONGREGATIONAL
60003 IND. BIBLE FELLOWSHIP
60006 NEW TESTAMENT CHRISTIAN
60008 MORAVIAN
60009 CHRIST. AND MISSION. ALLIANCE
60010 ADVENTIST
60012 ASSEMBLY OF GOD
60013 FREE METHODIST
60014 APOSTOLIC
60015 AFRICAN METHODIST
60016 FREE WILL BAPTIST
60018 HOLINESS, NAZARENE
60020 BRETHREN CHURCH
60023 UNITED BRETHREN, BRETH. IN CHRIST
60024 INDEPENDENT
60031 CHRISTIAN; CENTRAL CHRISTIAN
60032 CHRISTIAN REFORM
60033 CHRISTIAN SCIENTIST
60035 CHURCH OF CHRIST
60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS
60037 CHURCH OF GOD IN CHRIST
60038 HOLINESS
60040 CONGREGATIONALIST, 1ST CONG
60041 COMMUNITY CHURCH
60042 COVENANT
60043 DUTCH REFORM
60044 DISCIPLES OF CHRIST
60045 EVANGELICAL, EVANGELIST
60046 EVANGELICAL REFORMED
60047 EVANGELIST FREE CHURCH
60048 FIRST CHURCH
60049 1ST CHRISTIAN DISC OF CHRIST
60050 1ST REFORMED
60051 1ST CHRISTIAN
60052 FULL GOSPEL
60056 HOLINESS; CH OF HOLINESS
60057 PILGRIM HOLINESS
60058 JEHOVAH WITNESSES
60059 LDS
60060 LDS--MORMON
60061 LDS--REORGANIZED
60062 LDS--JESUS CHRIST; CH OF JESUS LDS
60063 MENNONITE
60064 MORMON
60065 NAZARENE
60066 PENTECOSTAL ASSEMBLY OF GOD
60068 PENTECOSTAL
60070 QUAKER
60071 REFORMED
60076 SALVATION ARMY
60077 7TH DAY ADVENTIST
60078 SANCTIFIED, SANCTIFICATION
60080 UNITARIAN, UNIVERSALIST
60081 UNITED CHURCH OF CHRIST
60082 UNITED CHURCH, UNITY CHURCH
60083 WESLEYAN
60084 WESLEYAN METHODIST--PILGRIM
60092 MISSION COVENANT
60093 MISSIONARY BAPTIST
60097 OTHER FUNDAMENTALIST
60098 FEDERATED CHURCH
60102 CHARISMATIC CHRISTIAN
60112 EVANGELIGAL METHODIST
60113 WORLDWIDE CHURCH OF GOD
60117 MISSIONARY
60119 UNITED CHURCH OF CANADA
60120 EVANGELICAL UNITED BRETHREN
60133 PRIMITIVE BAPTIST
60138 APOSTOLIC CHURCH
60141 NEW BIRTH CHRISTIAN
60149 POLISH CATHOLIC
60150 ZWINGLIAN
60156 LIVING CHURCH OF GOD
60181 CHRISTIAN BORN AGAIN
60184 CHURCH OF GOD ISRAELITE
70000 NO DENOM. GIVEN OR NON-DENOM CH
99998 DK
99999 NA
4927
RELIGKID Label: Religion R was raised in
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 ORTHODOX GREEK, RUSSIAN, ETC
5 MOSLEM
6 OTHER -SPECIFY
7 NO RELIGION
8 DK
9 NA
4928
DENKID Label: If protestant, denomination R raised in
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99998; 99999
Value Label
0 IAP
10000 AMER BAPTIST ASSOC
11000 AMER BAPTIST CH IN USA
12000 NATL BAPTIST CONV. OF AMERICA
13000 NATL BAPTIST CONV., USA, INC
14000 SOUTHERN BAPTIST CONV
15000 OTHER BAPTIST CHS
18000 BAPTIST, DK WHICH
20000 AFRICAN METH EPIS CH
21000 AME ZION CHURCH
22000 UNITED METH CHURCH
23000 OTHER METH CH
28000 METHODIST, DK WHICH
30000 AMER LUTHERAN CH
31000 LUTH CH IN AMER
32000 LUTH CH--MO SYNOD
33000 WISC EVAN LUTH SYNOD
34000 OTHER LUTH CHS
35000 EVAN LUTHERAN
38000 LUTHERAN, DK WHICH
40000 PRESBYT CH IN USA
41000 UNITED PRESBYT CH IN USA
42000 OTHER PRESBYT CHS
43000 PRESBYT CH USA
48000 PRESBYTERIAN, DK WHICH
50000 EPISCOPAL CHURCH
60002 EVANGELIGAL CONGREGATIONAL
60003 IND. BIBLE FELLOWSHIP
60006 NEW TESTAMENT CHRISTIAN
60008 MORAVIAN
60009 CHRIST. AND MISSION. ALLIANCE
60010 ADVENTIST
60012 ASSEMBLY OF GOD
60013 FREE METHODIST
60014 APOSTOLIC
60015 AFRICAN METHODIST
60016 FREE WILL BAPTIST
60018 HOLINESS, NAZARENE
60020 BRETHREN CHURCH
60023 UNITED BRETHREN, BRETH. IN CHRIST
60024 INDEPENDENT
60031 CHRISTIAN; CENTRAL CHRISTIAN
60032 CHRISTIAN REFORM
60033 CHRISTIAN SCIENTIST
60035 CHURCH OF CHRIST
60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS
60037 CHURCH OF GOD IN CHRIST
60038 HOLINESS
60040 CONGREGATIONALIST, 1ST CONG
60041 COMMUNITY CHURCH
60042 COVENANT
60043 DUTCH REFORM
60044 DISCIPLES OF CHRIST
60045 EVANGELICAL, EVANGELIST
60046 EVANGELICAL REFORMED
60047 EVANGELIST FREE CHURCH
60048 FIRST CHURCH
60049 1ST CHRISTIAN DISC OF CHRIST
60050 1ST REFORMED
60051 1ST CHRISTIAN
60052 FULL GOSPEL
60056 HOLINESS; CH OF HOLINESS
60057 PILGRIM HOLINESS
60058 JEHOVAH WITNESSES
60059 LDS
60060 LDS--MORMON
60061 LDS--REORGANIZED
60062 LDS--JESUS CHRIST; CH OF JESUS LDS
60063 MENNONITE
60064 MORMON
60065 NAZARENE
60066 PENTECOSTAL ASSEMBLY OF GOD
60068 PENTECOSTAL
60070 QUAKER
60071 REFORMED
60076 SALVATION ARMY
60077 7TH DAY ADVENTIST
60078 SANCTIFIED, SANCTIFICATION
60080 UNITARIAN, UNIVERSALIST
60081 UNITED CHURCH OF CHRIST
60082 UNITED CHURCH, UNITY CHURCH
60083 WESLEYAN
60084 WESLEYAN METHODIST--PILGRIM
60092 MISSION COVENANT
60093 MISSIONARY BAPTIST
60097 OTHER FUNDAMENTALIST
60098 FEDERATED CHURCH
60102 CHARISMATIC CHRISTIAN
60112 EVANGELIGAL METHODIST
60113 WORLDWIDE CHURCH OF GOD
60117 MISSIONARY
60119 UNITED CHURCH OF CANADA
60120 EVANGELICAL UNITED BRETHREN
60133 PRIMITIVE BAPTIST
60138 APOSTOLIC CHURCH
60141 NEW BIRTH CHRISTIAN
60149 POLISH CATHOLIC
60150 ZWINGLIAN
60156 LIVING CHURCH OF GOD
60181 CHRISTIAN BORN AGAIN
60184 CHURCH OF GOD ISRAELITE
70000 NO DENOM. GIVEN OR NON-DENOM CH
99998 DK
99999 NA
4929
RELIGSP Label: R's spouse's religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PROTESTANT
2 CATHOLIC
3 JEWISH
4 ORTHODOX GREEK, RUSSIAN, ETC
5 MOSLEM
6 OTHER -SPECIFY
7 NO RELIGION
8 DK
9 NA
4930
DENSP Label: If protestant, R's spouse's denomination
Format: F5.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99998; 99999
Value Label
0 IAP
10000 AMER BAPTIST ASSOC
11000 AMER BAPTIST CH IN USA
12000 NATL BAPTIST CONV. OF AMERICA
13000 NATL BAPTIST CONV., USA, INC
14000 SOUTHERN BAPTIST CONV
15000 OTHER BAPTIST CHS
18000 BAPTIST, DK WHICH
20000 AFRICAN METH EPIS CH
21000 AME ZION CHURCH
22000 UNITED METH CHURCH
23000 OTHER METH CH
28000 METHODIST, DK WHICH
30000 AMER LUTHERAN CH
31000 LUTH CH IN AMER
32000 LUTH CH--MO SYNOD
33000 WISC EVAN LUTH SYNOD
34000 OTHER LUTH CHS
35000 EVAN LUTHERAN
38000 LUTHERAN, DK WHICH
40000 PRESBYT CH IN USA
41000 UNITED PRESBYT CH IN USA
42000 OTHER PRESBYT CHS
43000 PRESBYT CH USA
48000 PRESBYTERIAN, DK WHICH
50000 EPISCOPAL CHURCH
60002 EVANGELIGAL CONGREGATIONAL
60003 IND. BIBLE FELLOWSHIP
60006 NEW TESTAMENT CHRISTIAN
60008 MORAVIAN
60009 CHRIST. AND MISSION. ALLIANCE
60010 ADVENTIST
60012 ASSEMBLY OF GOD
60013 FREE METHODIST
60014 APOSTOLIC
60015 AFRICAN METHODIST
60016 FREE WILL BAPTIST
60018 HOLINESS, NAZARENE
60020 BRETHREN CHURCH
60023 UNITED BRETHREN, BRETH. IN CHRIST
60024 INDEPENDENT
60031 CHRISTIAN; CENTRAL CHRISTIAN
60032 CHRISTIAN REFORM
60033 CHRISTIAN SCIENTIST
60035 CHURCH OF CHRIST
60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS
60037 CHURCH OF GOD IN CHRIST
60038 HOLINESS
60040 CONGREGATIONALIST, 1ST CONG
60041 COMMUNITY CHURCH
60042 COVENANT
60043 DUTCH REFORM
60044 DISCIPLES OF CHRIST
60045 EVANGELICAL, EVANGELIST
60046 EVANGELICAL REFORMED
60047 EVANGELIST FREE CHURCH
60048 FIRST CHURCH
60049 1ST CHRISTIAN DISC OF CHRIST
60050 1ST REFORMED
60051 1ST CHRISTIAN
60052 FULL GOSPEL
60056 HOLINESS; CH OF HOLINESS
60057 PILGRIM HOLINESS
60058 JEHOVAH WITNESSES
60059 LDS
60060 LDS--MORMON
60061 LDS--REORGANIZED
60062 LDS--JESUS CHRIST; CH OF JESUS LDS
60063 MENNONITE
60064 MORMON
60065 NAZARENE
60066 PENTECOSTAL ASSEMBLY OF GOD
60068 PENTECOSTAL
60070 QUAKER
60071 REFORMED
60076 SALVATION ARMY
60077 7TH DAY ADVENTIST
60078 SANCTIFIED, SANCTIFICATION
60080 UNITARIAN, UNIVERSALIST
60081 UNITED CHURCH OF CHRIST
60082 UNITED CHURCH, UNITY CHURCH
60083 WESLEYAN
60084 WESLEYAN METHODIST--PILGRIM
60092 MISSION COVENANT
60093 MISSIONARY BAPTIST
60097 OTHER FUNDAMENTALIST
60098 FEDERATED CHURCH
60102 CHARISMATIC CHRISTIAN
60112 EVANGELIGAL METHODIST
60113 WORLDWIDE CHURCH OF GOD
60117 MISSIONARY
60119 UNITED CHURCH OF CANADA
60120 EVANGELICAL UNITED BRETHREN
60133 PRIMITIVE BAPTIST
60138 APOSTOLIC CHURCH
60141 NEW BIRTH CHRISTIAN
60149 POLISH CATHOLIC
60150 ZWINGLIAN
60156 LIVING CHURCH OF GOD
60181 CHRISTIAN BORN AGAIN
60184 CHURCH OF GOD ISRAELITE
70000 NO DENOM. GIVEN OR NON-DENOM CH
99998 DK
99999 NA
4931
ATTENDMA Label: Freq of R's mom's relig svc attendance
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NEVER
2 LESS THAN ONCE A YR
3 ABOUT ONCE OR TWICE A YR
4 SEVERAL TIMES A YR
5 ABOUT ONCE A MONTH
6 2-3 TIMES A MONTH
7 NEARLY EVERY WEEK
8 EVERY WEEK
9 SEVERAL TIMES A WEEK
10 NO FATHER-MOTHER PRESENT
98 CANT SAY OR CANT REMEMBER
99 NA
4932
ATTENDPA Label: Freq of R's dad's relig svc attendance
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NEVER
2 LESS THAN ONCE A YR
3 ABOUT ONCE OR TWICE A YR
4 SEVERAL TIMES A YR
5 ABOUT ONCE A MONTH
6 2-3 TIMES A MONTH
7 NEARLY EVERY WEEK
8 EVERY WEEK
9 SEVERAL TIMES A WEEK
10 NO FATHER-MOTHER PRESENT
98 CANT SAY OR CANT REMEMBER
99 NA
4933
ATTEND12 Label: Freq of R's relig svc attendance at age 12
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NEVER
2 LESS THAN ONCE A YR
3 ABOUT ONCE OR TWICE A YR
4 SEVERAL TIMES A YR
5 ABOUT ONCE A MONTH
6 2-3 TIMES A MONTH
7 NEARLY EVERY WEEK
8 EVERY WEEK
9 SEVERAL TIMES A WEEK
10 NO FATHER-MOTHER PRESENT
98 CANT SAY OR CANT REMEMBER
99 NA
4934
PRAYFREQ Label: How often does R pray
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NEVER
2 LESS THAN ONCE A YEAR
3 ABOUT ONCE OR TWICE A YEAR
4 SEVERAL TIMES A YEAR
5 ABOUT ONCE A MONTH
6 2-3 TIMES A MONTH
7 NEARLY EVERY WEEK
8 EVERY WEEK
9 SEVERAL TIMES A WEEK
10 ONCE A DAY
11 SEVERAL TIMES A DAY
98 DK
99 NA
4935
RELACTIV Label: How often does R take part in relig activities
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NEVER
2 LESS THAN ONCE A YEAR
3 ABOUT ONCE OR TWICE A YEAR
4 SEVERAL TIMES A YEAR
5 ABOUT ONCE A MONTH
6 2-3 TIMES A MONTH
7 NEARLY EVERY WEEK
8 EVERY WEEK
9 SEVERAL TIMES A WEEK
10 ONCE A DAY
11 SEVERAL TIMES A DAY
98 DK
99 NA
4936
RELACTIV1 Label: How often does R take part in relig activities
Format: F2.0
Measure: Nominal
Display Width: 11
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Never
2 Less than once a year
3 About once or twice a year
4 Several times a year
5 About once a month
6 2-3 times a month
7 Nearly every week
8 Every week
9 Several times a week
98 DONT KNOW
99 NO ANSWER
4937
FEELREL Label: How religious Is R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREME RELGIOUS
2 VERY RELIGIOUS
3 SOMWHAT RELGIOUS
4 NOT REL OR NON
5 SOMEWHAT NON-REL
6 VERY NON-REL
7 EXTREME NON-REL
8 CANT CHOOSE
9 NA
4938
SCHLPRAY Label: Should there be daily prayer in public schools?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, DEFINITELY
2 YES, PROBABLY
3 NO, PROBABLY
4 NO, DEFINITELY
8 DK
9 NA
4939
GODRIGHT Label: God's laws should decide right and wrong
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4940
SOCRIGHT Label: Society's laws should decide right and wrong
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4941
PERRIGHT Label: Conscience should decide right and wrong
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4942
ANTIREL Label: Anti-religious material should be banned
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
4943
BEFAIR Label: How often do you think people take advantage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ADVNTGE ALL TIME
2 ADVNTGE MST TIME
3 FAIR MST OF TIME
4 FAIR ALL OF TIME
8 CANT CHOOSE
9 NA
4944
CANTRUST Label: People can be trusted or cant be too careful
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS TRUSTED
2 USUALLY TRUSTED
3 USUAL NOT TRSTED
4 ALWYS NOT TRSTED
8 CANT CHOOSE
9 NA
4945
TRUSTSCI Label: We trust too much in science
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4946
RELIGCON Label: Religions bring more conflict
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4947
RELIGINT Label: Religious people are often too intolerant
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4948
RELIGINF Label: Us would be better if less religious
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 CANT CHOOSE
9 NA
4949
VOLWKPOL Label: Volunteered political activities past 12 month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES 1-2 TIMES
3 YES 3-5 TIMES
4 YES 6/MORE TIMES
8 DK
9 NA
4950
VOLWKCHR Label: Volunteered charitable past 12 month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES 1-2 TIMES
3 YES 3-5 TIMES
4 YES 6/MORE TIMES
8 DK
9 NA
4951
VOLWKREL Label: Volunteered religious past 12 month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES 1-2 TIMES
3 YES 3-5 TIMES
4 YES 6/MORE TIMES
8 DK
9 NA
4952
VOLWKOTH Label: Volunteered other kinds past 12 month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO
2 YES 1-2 TIMES
3 YES 3-5 TIMES
4 YES 6/MORE TIMES
8 DK
9 NA
4953
RELTRUTH Label: How much truth in religion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LITTLE TRUTH ANY
2 BASIC TRUTH MANY
3 TRUTH IN ONE
8 CANT CHOOSE
9 NA
4954
CARRIGHT Label: What your friend has a right to expect from you
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITE RIGHT
2 SOME RIGHT
3 NO RIGHT
8 CANT CHOOSE
9 NA
4955
CARDO Label: What would you do in this situation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEF TLL PLCE WAS
2 PRB TLL PLCE WAS
3 PRB TLL PLCE NOT
4 DEF TLL PLCE NOT
8 CANT CHOOSE
9 NA
4956
GEOMOBIL Label: Has R moved from one kind of place to another
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I have lived in different countries
2 I have lived in different places in the same country
3 I have lived in different neighborhoods in the same place
4 I have always lived in the same neighborhood
8 DONT KNOW
9 NA
4957
RELGRPEQ Label: All religious groups in usa should have equal rights
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DONT KNOW
9 NA
4958
RSPCTREL Label: We must respect all religions
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DONT KNOW
9 NA
4959
RELMARRY Label: R accepts a person from a different religion or view from r's marrying relative
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely accept
2 Probably accept
3 Probably not accept
4 Definitely not accept
8 DONT KNOW
9 NA
4960
RELCAND Label: R accepts a person from a different religion or view from r's being candidate of party R prefers
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely accept
2 Probably accept
3 Probably not accept
4 Definitely not accept
8 DONT KNOW
9 NA
4961
RELEXT1 Label: Religious extremists should be allowed to hold public meeting to express views
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely
2 Probably
3 Probably not
4 Definitely not
8 DONT KNOW
9 NA
4962
RELEXT2 Label: People should be allowed to publish books expressing their views
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely
2 Probably
3 Probably not
4 Definitely not
8 DONT KNOW
9 NA
4963
REINCAR Label: Believe in reincarnation
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, definitely
2 Yes, probably
3 No, probably not
4 No, definitely not
8 DONT KNOW
9 NA
4964
NIRVANA Label: Believe in nirvana
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, definitely
2 Yes, probably
3 No, probably not
4 No, definitely not
8 DONT KNOW
9 NA
4965
ANCESTRS Label: Believe in supernatural power of deceased ancestors
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes, definitely
2 Yes, probably
3 No, probably not
4 No, definitely not
8 DONT KNOW
9 NA
4966
MYWAYGOD Label: R has own way of connecting with god without churches or religious services
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DONT KNOW
9 NA
4967
RELOBJCT Label: For religious reasons R has in home shrine, altar, or religious object on display
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4968
VISTHOLY Label: How often R visits holy place for religious reasons
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Less than once a year
3 About once or twice a year
4 Several times a year
5 About once a month or more
8 DONT KNOW
9 NA
4969
RELSPRT Label: Is R spiritual person
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 I follow a religion and consider myself to be a spiritual person interested in the sacred and the sup
2 I follow a religion, but dont consider myself to be a spiritual person interested in the sacred and
3 I dont follow a religion, but consider myself to be a spiritual person interested in the sacred and
4 I dont follow a religion and dont consider myself to be a spiritual person interested in the sacred
8 DONT KNOW
9 NA
4970
PAXHAPPY Label: Religion helps people to find inner peace and happiness
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DONT KNOW
9 NA
4971
MAKEFRND Label: Religion helps people to make friends
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DONT KNOW
9 NA
4972
COMFORT Label: Religion helps people to gain comfort in times of trouble and sorrow
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DONT KNOW
9 NA
4973
RIGHTPEO Label: Religion helps people to meet the right kind of people
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 DONT KNOW
9 NA
4974
PERSCRFC Label: R made some Personal sacrifice as an expression of faith by fasting, giving up activity, etc.
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
4975
OBEYTHNK Label: Should chldrn be obedient or think for selves
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TO BE OBEDIENT
2 TO THINK FOR THEMSELVES
8 DK
9 NA
4976
PRIVENT Label: Private enterprise will solve U.S. problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4977
POSTMAT1 Label: Highest priority for America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MAINTAIN ORDER
2 GIVE PEOPLE MORE SAY
3 CONTROL PRICES
4 PROTECT FREE SPEECH
8 DK
9 NA
4978
POSTMAT2 Label: 2nd highest priority for America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MAINTAIN ORDER
2 GIVE PEOPLE MORE SAY
3 CONTROL PRICES
4 PROTECT FREE SPEECH
8 DK
9 NA
4979
SCIFAITH Label: Believe too much in science, not enough faith
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4980
HARMGOOD Label: Modern science does more harm than good
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4981
SCIWORSE Label: Humans change nature for the worse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4982
SCIGRN Label: Modern science will solve envir probs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4983
GRNECON Label: Worry too much about envir, too little econ
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4984
HARMSGRN Label: Almost everything we do harms envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4985
ANRIGHTS Label: Animals have rights too
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4986
RESNATUR Label: Humans should respect naturecreated by god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4987
GRNPROG Label: Worry too much about progress harming envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4988
NATURPAX Label: Nature would be at peace if humans left alone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4989
GRWTHELP Label: Amer needs econ grwth to protect envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4990
ANTESTS Label: Ok to test on animals to save humans
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4991
NATURWAR Label: Nature is survival of fittest
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4992
GRWTHARM Label: Econ grwth always harms envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4993
NATURGOD Label: Relationship of nature to god
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NATURE CREATED BY GOD
2 NATURE SACRED IN ITSELF
3 NATURE IMPORT, BUT NOT SACRED
8 DK
9 NA
4994
GRNPRICE Label: Pay higher prices to help envir?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILL
4 NOT VERY WILLING
5 NOT AT ALL WILLING
8 DK
9 NA
4995
GRNTAXES Label: Pay higher taxes to help envir?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILL
4 NOT VERY WILLING
5 NOT AT ALL WILLING
8 DK
9 NA
4996
GRNSOL Label: Accept cut in living stnds to help envir?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILL
4 NOT VERY WILLING
5 NOT AT ALL WILLING
8 DK
9 NA
4997
TOODIFME Label: Too diff to do anything about envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4998
IHLPGRN Label: Do what i can to help envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
4999
SCITEST1 Label: Humans make all radioactivity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5000
SCITEST2 Label: Antibiotics kill bacteria not viruses
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5001
SCITEST3 Label: Astrology has some scientific truth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5002
SCITEST4 Label: Humans evolved from animals
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5003
SCITEST5 Label: All man-made chems cause cancer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5004
GRNTEST1 Label: All will die if exposed to radioact
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5005
GRNTEST2 Label: Nuke waste dangerous for thousands of yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5006
GRNTEST3 Label: Greenhouse effect caused by hole in atmosphere
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5007
GRNTEST4 Label: Using coal or gas contrib to greenhouse effect
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5008
GRNTEST5 Label: All pesticides cause cancer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5009
GRNTEST6 Label: Humans are main cause of plant & animal extinct
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5010
GRNTEST7 Label: CaR's not imp cause of air pollution
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY TRUE
2 PROBABLY TRUE
3 PROBABLY NOT TRUE
4 DEFINITELY NOT TRUE
8 DK
9 NA
5011
CARSGEN Label: Car pollution danger to envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5012
CARSFAM Label: Car pollution danger to my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5013
CARSTEN Label: Car pollution will increase in next 10 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 CERTAIN TO HAPPEN
2 VERY LIKELY TO HAPPEN
3 FAIRLY LIKELY TO HAPPEN
4 NOT VERY LIKELY TO HAPPEN
5 NOT AT ALL LIKELY
8 CANNOT CHOSE
9 NA
5014
NUKEGEN Label: Nuke power danger to envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5015
NUKEFAM Label: Nuke power danger to my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5016
INDUSGEN Label: Indust air pollution danger to envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5017
INDUSFAM Label: Indust air pollution danger to my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5018
CHEMGEN Label: Pesticides danger to envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5019
CHEMFAM Label: Pesticides danger to my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5020
WATERGEN Label: Water pollution danger to envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5021
WATERFAM Label: Water pollution danger to my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5022
TEMPGEN Label: Greenhouse effect danger to envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5023
TEMPFAM Label: Greenhouse effect danger to my family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS
8 DK
9 NA
5024
PUBDECID Label: Govt should let peop decide how to protect envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOV. LET PEOPLE DECIDE
2 GOV. MAKE LAWS
8 DK
9 NA
5025
BUSDECID Label: Govt should let biz decide how to protect envir
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOV. LET BUSNESSES DECIDE
2 GOV. MAKE LAWS
8 DK
9 NA
5026
USDOENUF Label: U.S. protect environment
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 More than enough
2 About the right amount, or
3 Too little?
8 DON'T KNOW
9 No answer
5027
RECYCLE Label: Recycle cans bottles
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 NEVER
5 NOT AVAILABLE
8 DK
9 NA
5028
CHEMFREE Label: Buy pesticide free fruits, vegetables
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 NEVER
5 NOT AVAILABLE
8 DK
9 NA
5029
NOMEAT Label: Refuse to eat meat for envir reasons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 NEVER
5 NO CAR, DONT DRIVE
9 NA
5030
DRIVLESS Label: Drive less for envir reasons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALWAYS
2 OFTEN
3 SOMETIMES
4 NEVER
5 NO CAR, DONT DRIVE
8 DK
9 NA
5031
GRNGROUP Label: Member of envir group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5032
GRNSIGN Label: Sign petition on envir issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, I HAVE
2 NO, I HAVE NOT
8 DK
9 NA
5033
GRNMONEY Label: Give money to envir group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, I HAVE
2 NO, I HAVE NOT
8 DK
9 NA
5034
GRNDEMO Label: Protested for envir issue
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, I HAVE
2 NO, I HAVE NOT
8 DK
9 NA
5035
COMTYPE Label: Type of community in which R lives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BIG CITY
2 SUBURBS, OUTSKIRTS
3 SMALL TOWN
4 COUNTRY VILLAGE
5 FARM, CNTRY HOME
8 DK
9 NA
5036
POPGRWTH Label: Earth cannot support population growth
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
5037
IMPGRN Label: More important in life than save environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
5038
OTHSSAME Label: No saving environment unless others do same
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
5039
GRNEXAGG Label: Environmental threats exaggerated
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5040
GENEGEN Label: How dangerous modifying genes in crops
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXTREMELY DANGEROUS FOR ENVIRONMENT
2 VERY DANGEROUS
3 SOMEWHAT DANGEROUS
4 NOT VERY DANGEROUS
5 NOT DANGEROUS AT ALL FOR ENVIRONMENT
8 CAN T CHOOSE
9 NA
5041
AMPROGRN Label: American doing enough to protect environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MORE THAN ENOUGH
2 ABOUT THE RIGHT AMOUNT
3 OR, TOO LITTLE
8 CANT CHOOSE
9 NA
5042
BIZPEOP Label: Business people do more for environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BUSINESS AND INDUSTRY
2 OR PEOPLE IN GENERAL
3 BOTH EQUALLY
8 DK
9 NA
5043
GOVTBIZ Label: Government do more for environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOVERNMENT
2 OR BUSINESS AND INDUSTRY?
3 BOTH EQUALLY
8 CANT CHOOSE
9 NA
5044
PEOPGOVT Label: People do more for environment than govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PEOPLE IN GENERAL
2 OR GOVERNMENT
3 BOTH EQUALLY
8 CANT CHOOSE
9 NA
5045
GRNINTL Label: Intl agreements for environment problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5046
LDCGRN Label: Poor countries less than rich for environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5047
ECONGRN Label: Economic progress dependent on environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
5048
NUKEACC Label: Likelihood of nuclear meltdown in 5 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 LIKELY
3 UNLIKELY
4 VERY UNLIKELY
5 CANT CHOOSE
8 DK
9 NA
5049
INFOBIZ Label: R trust business for pollution information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL OF TRUST
2 QUITE A LOT OF TRUST
3 SOME TRUST
4 NOT MUCH TRUST
5 HARDLY ANY TRUST
8 DK
9 NA
5050
INFOGRN Label: R trust environment groups for pollution information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL OF TRUST
2 QUITE A LOT OF TRUST
3 SOME TRUST
4 NOT MUCH TRUST
5 HARDLY ANY TRUST
8 DK
9 NA
5051
INFOGOVT Label: R trust govt for pollution information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL OF TRUST
2 QUITE A LOT OF TRUST
3 SOME TRUST
4 NOT MUCH TRUST
5 HARDLY ANY TRUST
8 DK
9 NA
5052
INFONEWS Label: R trust newspapers for pollution information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL OF TRUST
2 QUITE A LOT OF TRUST
3 SOME TRUST
4 NOT MUCH TRUST
5 HARDLY ANY TRUST
8 DK
5053
INFOTV Label: R trust radio or TV for pollution information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL OF TRUST
2 QUITE A LOT OF TRUST
3 SOME TRUST
4 NOT MUCH TRUST
5 HARDLY ANY TRUST
8 DK
9 NA
5054
INFOCOL Label: R trust universities for pollution information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL OF TRUST
2 QUITE A LOT OF TRUST
3 SOME TRUST
4 NOT MUCH TRUST
5 HARDLY ANY TRUST
8 DK
9 NA
5055
EXCLDIMM Label: America should exclude illegal immigrants
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5056
TOPPROB1 Label: Most important issue for America
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Health care
2 Education
3 Crime
4 The environment
5 Immigration
6 The economy
7 Terrorism
8 Poverty
9 None of these
98 DON'T KNOW
99 No answer
5057
TOPPROB2 Label: Next important issue
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Health care
2 Education
3 Crime
4 The environment
5 Immigration
6 The economy
7 Terrorism
8 Poverty
9 None of these
98 DON'T KNOW
99 No answer
5058
TRUST5 Label: People can or cannot be trusted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 You can’t be too careful
5 Most people can be trusted
8 DON'T KNOW
9 No answer
5059
FAIR5 Label: People fair or not
Format: F1.0
Measure: Nominal
Display Width: 7
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Most people would try to take advantage
5 Most people would try to be fair
6 6 Can’t choose
8 DON'T KNOW
9 No answer
5060
GRNCON Label: Concerned about environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all concerned
5 Very concerned
8 DON'T KNOW
9 No answer
5061
ENPRBUS Label: Most important environment problem
Format: F2.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Air pollution
2 Chemicals and pesticides
3 Water shortage
4 Water pollution
5 Nuclear waste
6 Domestic waste disposal
7 Climate change
8 Genetically modified foods
9 Using up our natural resources
10 None of these
98 DON'T KNOW
99 No answer
5062
ENPRBFAM Label: Problem effect family most
Format: F2.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Air pollution
2 Chemicals and pesticides
3 Water shortage
4 Water pollution
5 Nuclear waste
6 Domestic waste disposal
7 Climate change
8 Genetically modified foods
9 Using up our natural resources
10 None of these
98 DON'T KNOW
99 No answer
5063
KNWCAUSE Label: Know causes of environment issues
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Know nothing at all
5 Know a great deal
8 DON'T KNOW
9 No answer
5064
KNOWSOL Label: Know solutions to environment issues
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Know nothing at all
5 Know a great deal
8 DON'T KNOW
9 No answer
5065
FUTENRGY Label: U.S. energy priorities
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Coal, oil and natural gas
2 Nuclear power
3 Solar, wind or water power
4 Fuels made from crops
5 Fuels made from waste
6 None of them
7 Can’t choose
8 DON'T KNOW
9 No answer
5066
HELPHARM Label: Way living helps or harms
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 DON'T KNOW
9 No answer
5067
GRNEFFME Label: Environment effect everyday life
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 DON'T KNOW
9 No answer
5068
TEMPGEN1 Label: Temperature rise from climate change
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Extremely dangerous for the environment
2 Very dangerous
3 Somewhat dangerous
4 Not very dangerous, or
5 Not dangerous at all for the environment?
8 DON'T KNOW
9 No answer
5069
BUSGRN Label: U.S. business to protect environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Heavy fines for businesses that damage the environment
2 Use the tax system to reward businesses that protect the environment
3 More information and education for businesses about the advantages of protecting the environment
8 DON'T KNOW
9 No answer
5070
PEOPGRN Label: How get people to protect environment
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Heavy fines for people who damage the environment
2 Use the tax system to reward people who protect the environment
3 More information and education for people about the advantages of protecting the environment
8 DON'T KNOW
9 No answer
5071
REDCEHME Label: How often reduce fuel
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always
2 Often
3 Sometimes
4 Never
8 DON'T KNOW
9 No answer
5072
H2OLESS Label: How often save water
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always
2 Often
3 Sometimes
4 Never
8 DON'T KNOW
9 No answer
5073
NOBUYGRN Label: How often avoid products
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Always
2 Often
3 Sometimes
4 Never
8 DON'T KNOW
9 No answer
5074
CLSENEI Label: How close do you feel to your neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CLOSE
2 CLOSE
3 NOT VERY CLOSE
4 NOT CLOSE AT ALL
8 CANT CHOOSE
9 NA
5075
CLSETOWN Label: How close do you feel to your town or city
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CLOSE
2 CLOSE
3 NOT VERY CLOSE
4 NOT CLOSE AT ALL
8 CANT CHOOSE
9 NA
5076
CLSESTAT Label: How close do you feel to your state
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CLOSE
2 CLOSE
3 NOT VERY CLOSE
4 NOT CLOSE AT ALL
8 CANT CHOOSE
9 NA
5077
CLSEUSA Label: How close do you feel to America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CLOSE
2 CLOSE
3 NOT VERY CLOSE
4 NOT CLOSE AT ALL
8 CANT CHOOSE
9 NA
5078
CLSENOAM Label: How close do you feel to north America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CLOSE
2 CLOSE
3 NOT VERY CLOSE
4 NOT CLOSE AT ALL
8 CANT CHOOSE
9 NA
5079
MOVENEI Label: Willing to move to another neighborhood
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILLING
4 FAIRLY UNWILLING
5 VERY UNWILLING
8 CANT CHOOSE
9 NA
5080
MOVETOWN Label: Willing to move to another town or city
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILLING
4 FAIRLY UNWILLING
5 VERY UNWILLING
8 CANT CHOOSE
9 NA
5081
MOVESTAT Label: Willing to move to another state
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILLING
4 FAIRLY UNWILLING
5 VERY UNWILLING
8 CANT CHOOSE
9 NA
5082
MOVEUSA Label: Willing to move outside America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILLING
4 FAIRLY UNWILLING
5 VERY UNWILLING
8 CANT CHOOSE
9 NA
5083
MOVENOAM Label: Willing to move outside north America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY WILLING
2 FAIRLY WILLING
3 NEITHER WILLING NOR UNWILLING
4 FAIRLY UNWILLING
5 VERY UNWILLING
8 CANT CHOOSE
9 NA
5084
ONENATN Label: One nation or allowed to become fully separate?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ESSENTIAL TO REMAIN ONE NATION
2 ALLOWED TO BECOME SEPARATE
8 CANT CHOOSE
9 NA
5085
AMBORNIN Label: How important to have been born in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5086
AMCIT Label: How important to have American citizenship
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5087
AMLIVED Label: How important to have lived in America for life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5088
AMENGLSH Label: How important to be able to speak English
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5089
AMCHRSTN Label: How important to be a christian
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5090
AMGOVT Label: How important to respect America's laws etc
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5091
AMFEEL Label: How important to feel American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5092
AMCITIZN Label: Agree I would rather be a citizen of America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5093
AMSHAMED Label: Agree there are things make me ashamed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5094
BELIKEUS Label: Agree better if people were more like Americans
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5095
AMBETTER Label: Agree America is a better country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5096
IFWRONG Label: Agree people should support their country
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5097
AMSPORTS Label: Agree sports makes me proud to be an American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5098
PROUDDEM Label: How proud the way democracy works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5099
PROUDPOL Label: How proud its political influence in the world
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5100
PROUDECO Label: How proud America's economic achievements
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5101
PROUDSSS Label: How proud its social security system
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5102
PROUDSCI Label: How proud its scientific and tech achievements
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5103
PROUDSPT Label: How proud its achievements in sports
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5104
PROUDART Label: How proud its achievements in the arts & lit.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5105
PROUDMIL Label: How proud America's armed forces
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5106
PROUDHIS Label: How proud its history
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5107
PROUDGRP Label: How proud its fair and equal treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
8 CANT CHOOSE
9 NA
5108
IMPORTS Label: America should limit the import
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5109
WRLDGOVT Label: International bodies should enforce environment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5110
FORLANG Label: American schools should teach foreign languages
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5111
AMOWNWAY Label: America should follow its own interests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5112
FORLAND Label: ForeigneR's should not be allowed to buy land
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5113
AMTV Label: TV should give preference to American films
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5114
AMCULT Label: It is impossible to become fully American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5115
MINCULT Label: Ethnic minorities should be given gov assistance
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5116
MELTPOT1 Label: Better to maintain distinct cultures
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BETTER FOR SOCIETY MAINTAIN DISTINCT
2 BETTER IF GROUPS ADAPT AND BLEND INTO
8 DONT KNOW
9 NA
5117
IMMCRIME Label: Immigrants increase crime rates
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5118
IMMAMECO Label: Immigrants good for America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5119
IMMJOBS Label: Immigrants take jobs away
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5120
IMMIDEAS Label: Immigrants make America more open
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5121
LETIN1 Label: Number of immigrants to America nowadays should be
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 INCREASED A LOT
2 INCREASED A LITTLE
3 REMAIN THE SAME AS IT IS
4 REDUCED A LITTLE
5 REDUCED A LOT
8 CANT CHOOSE
9 NA
5122
REFUGEES Label: Refugees should be allowed to stay in America?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5123
RES161 Label: Where spend childhood until age 16?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IN THIS COMMUNITY
2 IN A DIFFERENT COMMUNITY SAME STATE
3 IN A DIFFERENT STATE IN AMERICA
4 OUTSIDE AMERICA
8 DK
9 NA
5124
LIVECOM1 Label: How long have you lived in the community?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
5125
ABROAD Label: How long have you lived in other countries?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NEVER LIVED IN OTHER COUNTRIES
2 LESS THAN 1 YEAR IN ALL
3 1 TO 4 YEARS IN ALL
4 5 YEARS OR LONGER
8 DK
9 NA
5126
SPKHOME1 Label: What language(s) do you speak at home?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDU
43 HAKKA
44 SWEDISH
45 VESAYA
46 ARMENIAN
47 AMERICAN SIGN LANGUAGE
48 CAMBODIAN
49 SPANGLISH
50 TIGRIGNA
51 ORIYA
52 HNONG
53 MARATHI
54 WOLOF
55 PANGASIAN
56 SCOTTISH
57 MACEDNIAN
58 HAWAIIAN
59 FULANI
60 GREEK
61 CAJUN
62 AKKADIAN
98 DK
99 NA
5127
SPKHOME2 Label: What language(s) do you speak at home?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP; NO SECOND LANGUAGE
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDU
43 HAKKA
44 SWEDISH
45 VESAYA
46 ARMENIAN
47 AMERICAN SIGN LANGUAGE
48 CAMBODIAN
49 SPANGLISH
50 TIGRIGNA
51 ORIYA
52 HNONG
53 MARATHI
54 WOLOF
55 PANGASIAN
56 SCOTTISH
57 MACEDNIAN
58 HAWAIIAN
59 FULANI
60 GREEK
61 CAJUN
62 AKKADIAN
98 DK
99 NA
5128
SPKLANG1 Label: What language(s) do you speak well?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDU
43 HAKKA
44 SWEDISH
45 VESAYA
46 ARMENIAN
47 AMERICAN SIGN LANGUAGE
48 CAMBODIAN
49 SPANGLISH
50 TIGRIGNA
51 ORIYA
52 HNONG
53 MARATHI
54 WOLOF
55 PANGASIAN
56 SCOTTISH
57 MACEDNIAN
58 HAWAIIAN
59 FULANI
60 GREEK
61 CAJUN
62 AKKADIAN
98 DK
99 NA
5129
SPKLANG2 Label: What language(s) do you speak well?
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP; NO SECOND LANGUAGE
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDU
43 HAKKA
44 SWEDISH
45 VESAYA
46 ARMENIAN
47 AMERICAN SIGN LANGUAGE
48 CAMBODIAN
49 SPANGLISH
50 TIGRIGNA
51 ORIYA
52 HNONG
53 MARATHI
54 WOLOF
55 PANGASIAN
56 SCOTTISH
57 MACEDNIAN
58 HAWAIIAN
59 FULANI
60 GREEK
61 CAJUN
62 AKKADIAN
98 DK
99 NA
5130
SPKLANG3 Label: What language(s) do you speak well?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP; NO THIRD LANGUAGE
1 ENGLISH
2 SPANISH
3 POLISH
4 FRENCH
5 HEBREW
6 RUSSIAN
7 TAGALOG
8 CHINESE
9 URDU
10 ITALIAN
11 ROMANIAN
12 GERMAN
13 PASHTU
14 CHAMORRO
15 UKRANIAN
16 HUNGARIAN
17 TURKISH
18 KHMER
19 KOREAN
20 NAVAJO
21 MALAYAM
22 ARABIC
23 FARSI-PERSIAN
24 SERBIAN
25 LITHUANIAN
27 THAI
28 GUJARATI
30 DARI
31 SLOVAK
32 JAPANESE
33 PORTUGUESE
34 VAJUN
35 YIDDDISH
36 CREOLE
37 VIETNAMESE
38 NORWEGIAN
39 MALAYSIAN
40 LATIN
41 CZECH
42 HINDU
43 HAKKA
44 SWEDISH
45 VESAYA
46 ARMENIAN
47 AMERICAN SIGN LANGUAGE
48 CAMBODIAN
49 SPANGLISH
50 TIGRIGNA
51 ORIYA
52 HNONG
53 MARATHI
54 WOLOF
55 PANGASIAN
56 SCOTTISH
57 MACEDNIAN
58 HAWAIIAN
59 FULANI
60 GREEK
61 CAJUN
62 AKKADIAN
98 DK
99 NA
5131
CITIZEN Label: Are you a citizen of America?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5132
PARCIT Label: Were your parents citizens of America?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BOTH WERE CITIZENS OF AMERICA
2 ONLY FATHER WAS A CITIZEN OF AMERICA
3 ONLY MOTHER WAS A CITIZEN OF AMERICA
4 NEITHER WAS A CITIZEN OF AMERICA
8 DK
9 NA
5133
ETHCLOSE Label: How close feel to your ethnic or racial group?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY CLOSE
2 CLOSE
3 NOT VERY CLOSE
4 NOT CLOSE AT ALL
8 CANT CHOOSE
9 NA
5134
NAFTA1 Label: How much heard or read about nafta?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A LOT
2 QUITE A BIT
3 NOT MUCH
4 NOTHING AT ALL
8 DK
9 NA
5135
NAFTA2 Label: America benefits from being a member of nafta?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BENEFITS
2 DOES NOT BENEFIT
3 DONT KNOW
4 HAVE NEVER HEARD OF NAFTA
8 DK
9 NA
5136
SOCID1 Label: Most important to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 CURRENT OCCUPATION
2 RACE ETHNIC BACKGROUND
3 GENDER
4 AGE GROUP
5 RELIGION
6 POLITICAL PARTY
7 NATIONALITY
8 FAMILY OR MARITAL STATUS
9 SOCIAL CLASS
10 REGION
98 DONT KNOW
99 NO ANSWER
5137
SOCID2 Label: Second most important to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 CURRENT OCCUPATION
2 RACE ETHNIC BACKGROUND
3 GENDER
4 AGE GROUP
5 RELIGION
6 POLITICAL PARTY
7 NATIONALITY
8 FAMILY OR MARITAL STATUS
9 SOCIAL CLASS
10 REGION
98 DONT KNOW
99 NO ANSWER
5138
SOCID3 Label: Third most important to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 CURRENT OCCUPATION
2 RACE ETHNIC BACKGROUND
3 GENDER
4 AGE GROUP
5 RELIGION
6 POLITICAL PARTY
7 NATIONALITY
8 FAMILY OR MARITAL STATUS
9 SOCIAL CLASS
10 REGION
98 DONT KNOW
99 NO ANSWER
5139
AMANCSTR Label: How important to have American ancestry
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY IMPORTANT
2 FAIRLY IMPORTANT
3 NOT VERY IMPORTANT
4 NOT IMPORTANT AT ALL
8 CANT CHOOSE
9 NA
5140
LESSPRD Label: Agree often less proud of America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5141
INTLINCS Label: Large intl company damage to local business
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5142
FREETRDE Label: Free trade leads to better products
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5143
DECSORGS Label: America should follow decision of intl org
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5144
POWRORGS Label: Intl orgs take away much power from American govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5145
CITWORLD Label: I am a citizen of the world
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 Can't Choose
9 No answer
5146
FORCULT Label: Exposure to foreign film damage to our culture
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5147
INTERNET Label: Internet makes info available more people
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5148
IMMIMP Label: Immigrants improve American society
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5149
IMMCOSTS Label: Govt spend too much money for immigrants
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5150
KIDSHERE Label: Parent of America born child should become citizen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5151
KIDSAWAY Label: Child born abroad of American should become citizen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5152
IMMRGHTS Label: Legal immigrants should have same right as American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5153
AMPROUD1 Label: How proud being American
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY PROUD
2 SOMEWHAT PROUD
3 NOT VERY PROUD
4 NOT PROUD AT ALL
5 I AM NOT AMERICAN
8 CANT CHOOSE
9 NA
5154
NAFTA2A Label: America benefits from being a member of nafta?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATLY BENEFITS
2 LARGELY BENEFITS
3 SOMEWHAT BENEFITS
4 BENEFITS ONLY A LITTLE
5 DOES NOT BENEFIT AT ALL
7 HAVE NEVER HEARD OF NAFTA
8 DONT KNOW
9 NA
5155
NAFTA3 Label: America should follow nafta decision
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 AGREE STRONGLY
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 DISAGREE STRONGLY
8 CANT CHOOSE
9 NA
5156
SHORTCOM Label: World better if America acknowledged shortcomings
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree Strongly
2 Agree
3 Neither Agree nor Disagree
4 Disagree
8 Don't know
9 No answer
5157
IMMCULT Label: Immigrants undermine American culture
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree Strongly
2 Agree
3 Neither Agree nor Disagree
4 Disagree
8 Don't know
9 No answer
5158
IMMEDUC Label: Legal immigrants should have same education as Americans
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree Strongly
2 Agree
3 Neither Agree nor Disagree
4 Disagree
8 Don't know
9 No answer
5159
LETIN1A Label: Number of immigrants nowadays should be
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Increased a lot
2 Increased a little
3 Remain the same as it is
4 Reduced a little
5 Reduced a lot, or
8 Don't know
9 No answer
5160
IMMASSIM Label: What statement about immigrants matches view
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Immigrants should retain their culture of origin and not adopt American culture
2 Immigrants should retain their culture of origin and also adopt American culture
3 Immigrants should give up their culture of origin and adopt American culture
8 Can't Choose
9 No answer
5161
PATRIOT1 Label: Patriotic feelings strengthen America's place in world
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree Strongly
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Disagree Strongly
8 Can't choose
9 No answer
5162
PATRIOT2 Label: Patriotic feelings lead to intolerance in America
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree Strongly
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Disagree Strongly
8 Can't choose
9 No answer
5163
PATRIOT3 Label: Patriotic feelings are needed for America to remain united
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree Strongly
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Disagree Strongly
8 Can't choose
9 No answer
5164
PATRIOT4 Label: Patriotic feelings lead to negative feelings towards immigrants
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Agree Strongly
2 Agree
3 Neither Agree nor Disagree
4 Disagree
5 Disagree Strongly
8 Can't choose
9 No answer
5165
VOTEELEC Label: How important always to vote in elections
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5166
PAYTAXES Label: How important never to try to evade taxes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5167
OBEYLAWS Label: How important always to obey laws
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5168
WATCHGOV Label: How important to keep watch on action of govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5169
ACTASSOC Label: How important to be active on soc or pol association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5170
OTHREASN Label: How important to try to undR'stnd reasoning of othr o
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5171
BUYPOL Label: How important to choose products for pol reasons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5172
HELPUSA Label: How important to help worse off ppl in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5173
HELPWRLD Label: How important to help worse off ppl in rest of world
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5174
MILSERVE Label: How important to serve in military when needed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5175
RELMEET Label: Allowed to hold pub meeting for religious extremist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Should definitely be allowed
2 Should probably be allowed
3 Should probably not be allowed
4 Should definitely not be allowed
8 CANT CHOOSE
9 NO ANSWER
5176
REVMEET Label: Allowed to hold pub meeting for ppl who want overthrow
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Should definitely be allowed
2 Should probably be allowed
3 Should probably not be allowed
4 Should definitely not be allowed
8 CANT CHOOSE
9 NO ANSWER
5177
RACMEET Label: Allowed to hold pub meeting for racist
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Should definitely be allowed
2 Should probably be allowed
3 Should probably not be allowed
4 Should definitely not be allowed
8 CANT CHOOSE
9 NO ANSWER
5178
SIGNDPET Label: Signed a petition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5179
AVOIDBUY Label: Boycotted products for pol reasons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5180
JOINDEM Label: Took part in a demonstration
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5181
ATTRALLY Label: Attended a political meeting or rally
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5182
CNTCTGOV Label: Contacted politician or civil servant to express view
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5183
POLFUNDS Label: Donated money or raised funds for soc or pol activity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5184
USEMEDIA Label: Contacted in the media to express view
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5185
INTERPOL Label: Joined an internet political forum
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past yr
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 CANT CHOOSE
9 NO ANSWER
5186
GRPPARTY Label: R belongs to a political party
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Belong and actively participate
2 Belong but dont participate
3 Used to belong
4 Never belonged
8 CANT CHOOSE
9 NO ANSWER
5187
GRPWORK Label: R belongs to a trade union or professional association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Belong and actively participate
2 Belong but dont participate
3 Used to belong
4 Never belonged
8 CANT CHOOSE
9 NO ANSWER
5188
GRPRELIG Label: R belongs to a church or othr religious organization
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Belong and actively participate
2 Belong but dont participate
3 Used to belong
4 Never belonged
8 CANT CHOOSE
9 NO ANSWER
5189
GRPSPRTS Label: R belongs to a sports, leisure, or cultural grp
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Belong and actively participate
2 Belong but dont participate
3 Used to belong
4 Never belonged
8 CANT CHOOSE
9 NO ANSWER
5190
GRPOTHER Label: R belongs to another voluntary association
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Belong and actively participate
2 Belong but dont participate
3 Used to belong
4 Never belonged
8 CANT CHOOSE
9 NO ANSWER
5191
SOLOK Label: How important: citizens have adequate standard of living
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5192
RGHTSMIN Label: How important: govt protect right of minorities
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5193
EQTREAT Label: How important: govt treat everybody equally
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5194
CITVIEWS Label: How important: politician consider views of citizen
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5195
POLOPTS Label: How important: ppl given chance to participate in decsns
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5196
OPPSEGOV Label: How important: citizen engage in acts of civil disobeyed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOT AT ALL IMPORTANT
7 VERY IMPORTANT
8 CANT CHOOSE
9 NO ANSWER
5197
POLEFF18 Label: Govt do not care much what ppl like R think
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5198
POLEFF19 Label: R have a good understanding of pol issues
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5199
POLEFF20 Label: Most ppl are better informed about politics than R is
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5200
ACTLAW Label: How likely R to do something if unjust law being cons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 FAIRLY LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 CANT CHOOSE
9 NA
5201
AFFCTLAW Label: How likely congress give serious attention to R's demands
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 FAIRLY LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 CANT CHOOSE
9 NA
5202
POLINT1 Label: How interested in politics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY INTERESTED
2 FAIRLY INTERESTED
3 NOT VERY INTERESTED
4 NOT AT ALL INTERESTED
8 CANT CHOOSE
9 NA
5203
GOVDOOK Label: We can trust people in govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5204
POLGREED Label: Most politicians are only for what get out of politics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5205
DISCPOL Label: How often R discuss politics
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 CANT CHOOSE
9 NO ANSWER
5206
CHNGEOTH Label: How often R try to persuade other to share views
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OFTEN
2 SOMETIMES
3 RARELY
4 NEVER
8 CANT CHOOSE
9 NO ANSWER
5207
POWERUN Label: How much power R think united nations have
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UN HAS TOO MUCH POWER
2 UN HAS ABOUT RIGHT AMOUNT OF POWER
3 UN HAS TOO LITTLE POWER
4 DONT KNOW WHAT UN IS
8 CANT CHOOSE
9 NO ANSWER
5208
GOVNGOS Label: Decision left to natl govt representative or citizen or
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULD BE LEFT TO GOVT REPRESENTATIVES
2 CITIZEN ORGS SHOULD BE INVOLVED
8 CANT CHOOSE
9 NO ANSWER
5209
UNRGHTS Label: Un should intervene if human right is seriously viola
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 UN SHOULD INTERVENE
2 UN SHOULD NOT INTERVENE
3 DONT KNOW WHAT THE UN IS
8 CANT CHOOSE
9 NO ANSWER
5210
POLACTVE Label: Pol party encourage ppl to be active in politics in am
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5211
CHOICES Label: Political parties don't give real policy choices
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5212
REFRNDMS Label: Referendum are good way to decide important pol quest
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5213
ELECVOTE Label: How honest last natl election: counting of votes
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY HONEST
2 SOMEWHAT HONEST
3 NEITHER HONEST NOR DISHONEST
4 SOMEWHAT DISHONEST
5 VERY DISHONEST
8 CANT CHOOSE
9 NA
5214
ELECFAIR Label: How fair last natl election: opprtunities of candidate
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY FAIR
2 SOMEWHAT FAIR
3 NEITHER FAIR NOR UNFAIR
4 SOMEWHAT UNFAIR
5 VERY UNFAIR
8 CANT CHOOSE
9 NA
5215
SERVEPEO Label: How committed govt admnstratoR's are to serve people
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY COMMITTED
2 SOMEWHAT COMMITTED
3 NOT VERY COMMITTED
4 NOT AT ALL COMMITTED
8 CANT CHOOSE
9 NA
5216
FIXMISTK Label: How likely govt admnstrtoR's be corrected when making
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY LIKELY
2 SOMEWHAT LIKELY
3 NOT VERY LIKELY
4 NOT AT ALL LIKELY
8 CANT CHOOSE
9 NA
5217
CORRUPTN Label: How widespread corruption is in pub service in America
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Hardly anyone is involved
2 A small number of people are involved
3 A moderate number of people are involved
4 A lot of people are involved
5 Almost everyone is involved
8 CANT CHOOSE
9 NA
5218
DEMTODAY Label: How well democracy work in America
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 VERY POORLY
10 VERY WELL
98 CANT CHOOSE
99 NA
5219
DEM10PST Label: How well did democracy work in America ten yrs ago
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 VERY POORLY
10 VERY WELL
98 CANT CHOOSE
99 NA
5220
DEM10FUT Label: How well will democracy work in America in ten yrs
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 VERY POORLY
10 VERY WELL
98 CANT CHOOSE
99 NA
5221
DEMRGHTS Label: Democratic rghts shouldn't be restricted by govt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SHOULDNT BE RESTRICTED BY GOVT
2 SHOULD BE RESTRICTED IF GOVT THINK NECESSARY
8 CANT CHOOSE
9 NA
5222
GVTRGHTS Label: Govt should respect democratic rights
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all important
7 Very important
8 DON'T KNOW
9 No answer
5223
POLINTER Label: Expressed political views on internet past year
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have done it in the past year
2 Have done it in the more distant past
3 Have not done it but might do it
4 Have not done it and would never do it
8 Can't Choose
9 No answer
5224
POLNEWS Label: How often use media to get political news
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Several times a day
2 Once a day
3 5-6 days a week
4 3-4 days a week
5 1-2 days a week
6 Less than 1 day a week
7 Never
8 Can’t choose
9 No answer
5225
CRIMLOSE Label: People convicted of serious crimes lose citizen rights
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all important
7 Very Imporant
8 Can't Choose
9 No answer
5226
NTCITVTE Label: Long-term residents should vote
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all important
7 Very Imporant
8 Can't Choose
9 No answer
5227
NOTVOTE Label: Citizens have right not to vote
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all important
7 Very Imporant
8 Can't Choose
9 No answer
5228
HLTHALL Label: Healthcare provided for everyone
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all important
7 Very Imporant
8 Can't Choose
9 No answer
5229
LEFTRGHT Label: How left or right in politics
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 Left
10 Right
98 Don't know
99 No answer
5230
CREATION Label: View about origin and development of man
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOD CREATED MAN
2 MAN HAS EVOLVED
3 MAN HAS EVOLVED, BUT GOD GUIDED
4 OTHER
8 CANT CHOOSE
9 NA
5231
SCITESTY Label: Human beings developed from earlier species of animal
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely true
2 Probably true
3 Probably not true
4 Definitely not true
8 CANT CHOOSE
9 NA
5232
BIG5A1 Label: R see oneself as someone who Is Reserved
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5233
BIG5B1 Label: R see oneself as someone who is generally trusted
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5234
BIG5C1 Label: R see oneself as someone who does a thorough job
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5235
BIG5D1 Label: R see oneself as someone who Is Relaxed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5236
BIG5E1 Label: R see oneself as someone who has an active imagination
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5237
BIG5A2 Label: R see oneself as someone who is sociable
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5238
BIG5B2 Label: R see oneself as someone who tends to find fault with others
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5239
BIG5C2 Label: R see oneself as someone who tends to be lazy
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5240
BIG5D2 Label: R see oneself as someone who gets nervous easily
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5241
BIG5E2 Label: R see oneself as someone who has few artistic interests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Strongly disagree
8 CANT CHOOSE
9 NA
5242
FORBDCOM Label: Forbid communist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES FORBID
2 NO NOT FORBID
8 DK
9 NA
5243
FORBDRAC Label: Forbid racist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES FORBID
2 NO NOT FORBID
8 DK
9 NA
5244
FORBDMAR Label: Forbids racial intermarriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FORBID MARRIAGE
2 NOT FORBID MAR
8 DK
9 NA
5245
ALLOWCOM Label: Allow communist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES,ALLOW
2 NO, NOT ALLOW
8 DK
9 NA
5246
ALLOWRAC Label: Allow racist to speak
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES,ALLOW
2 NO, NOT ALLOW
8 DK
9 NA
5247
ALLOWMAR Label: Allow racial intermarriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ALLOW MARRIAGE
2 NOT ALLOW MARRIAGE
8 DK
9 NA
5248
CIDEKNEW Label: #People R knows murdered in last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DK
9 NA
5249
CIDEWHO Label: R's relationship to closest murderee
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVER
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5250
CIDESEX Label: Sex of murder victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5251
CIDEAGE Label: Age of murder victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5252
CIDERACE Label: Race of murder victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5253
CIDEREG Label: Region of murder victim closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5254
CIDEWHO2 Label: R's relationship to 2nd closest murderee
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVER
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5255
CIDESEX2 Label: Sex of murder victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5256
CIDEAGE2 Label: Age of murder victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5257
CIDERAC2 Label: Race of murder victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5258
CIDEREG2 Label: Region of murder victim 2nd closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5259
CIDEWHO3 Label: R's relationship to 3rd closest murderee
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVER
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5260
CIDESEX3 Label: Sex of murder victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5261
CIDEAGE3 Label: Age of murder victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5262
CIDERAC3 Label: Race of murder victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5263
CIDEREG3 Label: Region of murder victim 3rd closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5264
AIDSKNOW Label: #People R knows infected with AIDS
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 7 OR MORE
8 DK
9 NA
5265
AIDSWHO Label: R's relationship to closest AIDS victim
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVER
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5266
AIDSDEAD Label: Has AIDS victim closest to R died
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING
2 DIED
8 DK
9 NA
5267
AIDSSEX Label: Sex of AIDS victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5268
AIDSAGE Label: Age of AIDS victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5269
AIDSRACE Label: Race of AIDS victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5270
AIDSREG Label: Region of AIDS victim closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5271
AIDSWHO2 Label: R's relation. to 2nd closest AIDS victim
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVER
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5272
AIDSDED2 Label: Has AIDS victim 2nd closest to R died
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING
2 DIED
8 DK
9 NA
5273
AIDSSEX2 Label: Sex of AIDS victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5274
AIDSAGE2 Label: Age of AIDS victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5275
AIDSRAC2 Label: Race of AIDS victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5276
AIDSREG2 Label: Region of AIDS victim 2nd closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5277
AIDSWHO3 Label: R's relat. to 3rd closest AIDS victim to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVER
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5278
AIDSDED3 Label: Has AIDS victim 3rd closest to R died
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING
2 DIED
8 DK
9 NA
5279
AIDSSEX3 Label: Sex of AIDS victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5280
AIDSAGE3 Label: Age of AIDS victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5281
AIDSRAC3 Label: Race of AIDS victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5282
AIDSREG3 Label: Region of AIDS victim 3rd closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5283
SUIKNEW Label: #People R knows suicide in last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
7 SEVEN OR MORE
8 DK
9 NA
5284
SUIWHO Label: R's relationship to closest suicide
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVE
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5285
SUISEX Label: Sex of suicide victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5286
SUIAGE Label: Age of suicide victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5287
SUIRACE Label: Race of suicide victim closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5288
SUIREG Label: Region of suicide victim closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5289
SUIWHO2 Label: R's relationship to 2nd closest suicide
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVE
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5290
SUISEX2 Label: Sex of suicide victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5291
SUIAGE2 Label: Age of suicide victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5292
SUIRAC2 Label: Race of suicide victim 2nd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5293
SUIREG2 Label: Region of suicide victim 2nd closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5294
SUIWHO3 Label: R's relationship to 3rd closest suicide
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HUSBAND OR WIFE
2 PARTNER OR LOVE
3 SON OR DAUGHTER
4 OTHER RELATIVE
5 FRIEND
6 NEIGHBOR
7 CO-WORKER
8 ACQUAINTANCE
9 PATIENT
10 OTHER
98 DK
99 NA
5295
SUISEX3 Label: Sex of suicidevictim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5296
SUIAGE3 Label: Age of suicide victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 10 YEARS OR UNDER
2 11-20
3 21-40
4 41 YEAR OR OLDER
8 DK
9 NA
5297
SUIRAC3 Label: Race of suicide victim 3rd closest to R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 BLACK
2 WHITE
3 HISPANIC
4 OTHER
8 DK
9 NA
5298
SUIREG3 Label: Region of suicide victim 3rd closest to R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 FOREIGN
1 NEW ENGLAND
2 MIDDLE ATLANTIC
3 E. NOR. CENTRAL
4 W. NOR. CENTRAL
5 SOUTH ATLANTIC
6 E. SOU. CENTRAL
7 W. SOU. CENTRAL
8 MOUNTAIN
9 PACIFIC
98 DK
99 NA
5299
AIDSSCH Label: Prohibit AIDS-students at public schools
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5300
AIDSADS Label: Have govt info pgm on safe sex practices
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5301
AIDSINSR Label: Allow insurer's to test applicant for AIDS
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5302
AIDSHLTH Label: Have govt pay for all AIDS health care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5303
AIDSMAR Label: Have testing for AIDS before marriage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5304
AIDSSXED Label: Public schools teach safe sex practices
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5305
AIDSIDS Label: Require AIDS victims to wear id tags
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5306
AIDSFARE Label: Pay AIDS victims disability benefits
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SUPPORT
2 OPPOSE
8 NO OPINION
9 NA
5307
PARTNERS Label: How many sex partner's R had in last year
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NO PARTNERS
1 1 PARTNER
2 2 PARTNERS
3 3 PARTNERS
4 4 PARTNERS
5 5-10 PARTNERS
6 11-20 PARTNERS
7 21-100 PARTNERS
8 MORE THAN 100 PARTNERS
9 1 OR MORE, # unknown
95 SEVERAL
98 DK
99 NA
5308
MATESEX Label: Was 1 of R's partner's spouse or regular
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5309
FRNDSEX Label: R had sex with friend last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HAD SEX WITH FRIEND
2 NOT SELECTED
8 DK
9 NA
5310
ACQNTSEX Label: R had sex with acquaintance last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 SEX W ACQUAINTANCE
2 NOT SELECTED
8 DK
9 NA
5311
PIKUPSEX Label: R had sex with casual date last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HAD SEX WITH PICK-UP
2 NOT SELECTED
8 DK
9 NA
5312
PAIDSEX Label: R had sex for pay last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HAD SEX FOR PAY
2 NOT SELECTED
8 DK
9 NA
5313
OTHERSEX Label: R had sex with some other last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HAD SEX WITH OTHER
2 NOT SELECTED
8 DK
9 NA
5314
SEXSEX Label: Sex of sex partner's in last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCLUSIVELY MALE
2 BOTH MALE AND FEMALE
3 EXCLUSIVELY FEMALE
8 DK
9 NA
5315
SEXFREQ Label: Frequency of sex during last year
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NOT AT ALL
1 ONCE OR TWICE
2 ONCE A MONTH
3 2-3 TIMES A MONTH
4 WEEKLY
5 2-3 PER WEEK
6 4+ PER WEEK
8 DK
9 NA
5316
SEXFREQ1 Label: Had sex in last month
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 N0
8 DONT KNOW
9 NA
5317
SEXFREQ2 Label: Number of times, sex last month
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DONT KNOW
99 NA
5318
NUMWOMEN Label: Number of female sex partner's since 18
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
989 989 OR HIGHER
990 DASH OR SLASH
991 SOME,1+
992 X
993 GARBLED TEXT
994 SEVERAL
995 MANY,LOTS
996 N.A
997 REFUSED
998 DK
999 NA
5319
NUMMEN Label: Number of male sex partner's since 18
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
989 989 OR HIGHER
990 DASH OR SLASH
991 SOME,1+
992 X
993 GARBLED TEXT
994 SEVERAL
995 MANY,LOTS
996 N.A
997 REFUSED
998 DK
999 NA
5320
PARTOPEN Label: Number of sex partner's last year
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
990 -
997 REFUSED
998 DK
999 NA
5321
PARTOPN5 Label: Number of sex partner's last 5 years
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: -1; 998; 999
Value Label
-1 IAP
990 -
997 REFUSED
998 DK
999 NA
5322
PARTNRS5 Label: How many sex partner's R had in last 5 years
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
0 NO PARTNERS
1 1 PARTNER
2 2 PARTNERS
3 3 PARTNERS
4 4 PARTNERS
5 5-10 PARTNERS
6 11-20 PARTNERS
7 21-100 PARTNERS
8 MORE THAN 100 PARTNERS
9 1 OR MORE, # unknown
95 SEVERAL
98 DK
99 NA
5323
SEXSEX5 Label: Sex of sex partner's last five years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCLUSIVELY MALE
2 BOTH MALE AND FEMALE
3 EXCLUSIVELY FEMALE
8 DK
9 NA
5324
EVPAIDSX Label: EveR have sex paid for or being paid since 18
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5325
EVSTRAY Label: Have sex other than spouse while married
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
3 NEVER MARRIED
8 DK
9 NA
5326
CONDOM Label: Used condom last time
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 USED LAST TIME
2 NOT USED
8 DK
9 NA
5327
RELATSEX Label: Relation to last sex partner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, IN RELATIONSHIP
2 NO, NO RELATIONSHIP
8 DK
9 NA
5328
EVIDU Label: R ever inject drugs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5329
IDU30 Label: R inject drugs in past 30 days
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WITHIN THE PAST 30 DAYS
2 MORE THAN 30 DAYS AGO BUT WITHIN THE PAST 12 MONTHS
3 MORE THAN 12 MONTHS AGO BUT WITHIN THE PAST 3 YEARS
4 MORE THAN 3 YEARS AGO
8 DK
9 NA
5330
EVCRACK Label: R ever use crack cocaine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5331
CRACK30 Label: R last use crack cocaine
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WITHIN THE PAST 30 DAYS
2 MORE THAN 30 DAYS AGO BUT WITHIN THE PAST 12 MONTHS
3 MORE THAN 12 MONTHS AGO BUT WITHIN THE PAST 3 YEARS
4 MORE THAN 3 YEARS AGO
8 DK
9 NA
5332
HIVTEST Label: Have you ever been tested for HIV
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DK
9 NA
5333
HIVTEST1 Label: In what month and year was your last HIV test
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999898; 999999
Value Label
0 IAP
198001 Jan 1980
198099 NA 1980
198299 NA 1982
198503 Mar 1985
198599 NA 1985
198698 DK 1986
198699 NA 1986
198799 NA 1987
198999 NA 1989
199006 Jun 1990
199098 DK 1990
199099 NA 1990
199198 DK 1991
199199 NA 1991
199298 DK 1992
199299 NA 1992
199398 DK 1993
199399 NA 1993
199498 DK 1994
199499 NA 1994
199509 Sep 1995
199598 DK 1995
199599 NA 1995
199698 DK 1996
199699 NA 1996
199798 DK 1997
199799 NA 1997
199898 DK 1998
199899 NA 1998
199998 DK 1999
199999 NA 1999
200098 DK 2000
200099 NA 2000
200198 DK 2001
200199 NA 2001
200298 DK 2002
200299 NA 2002
200398 DK 2003
200399 NA 2003
200498 DK 2004
200499 NA 2004
200598 DK 2005
200599 NA 2005
200612 Dec 2006
200698 DK 2006
200699 NA 2006
999898 DK DK
999999 NA NA
5334
HIVTEST2 Label: Where did you have your last HIV test
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Private doctor or HMO office
2 Counselling and testing site
3 Hospital
4 Clinic
5 Jail or prison
6 Home
7 Somewhere else
8 DK
9 NA
5335
AIDSLOOK Label: A health-look person may have AIDS
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
5336
AIDSCNDM Label: Condom can reduce AIDS
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 Don't know
9 No answer
5337
HIVVAC Label: There is a vaccine that can prevent HIV
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 Don't know
9 No answer
5338
HIVKISS Label: Kiss can spread HIV
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 True
2 False
8 Don't know
9 No answer
5339
SEXORNT Label: Sexual orientation
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Gay, lesbian, or homosexual
2 Bisexual
3 Heterosexual or straight
8 DONT KNOW
9 NA
5340
SIBORDER Label: Birth order
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
95 ONLY CHILD
98 DK
99 NA
5341
GENETEST Label: Know about genetic testing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 NOT VERY MUCH
3 NOTHING AT ALL
7 REFUSED
8 DONT KNOW
9 NA
5342
GENETST1 Label: Know about genetic testing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A GREAT DEAL
2 NOT VERY MUCH
3 NOTHING AT ALL
7 REFUSED
8 DONT KNOW
9 NA
5343
GENEGOOD Label: Genetic testing good or harm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOOD > HARM
2 HARM > GOOD
3 IT DEPENDS
7 REFUSED
8 DONT KNOW
9 NA
5344
GENEGOO1 Label: Genetic testing good or harm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HARM > GOOD
2 GOOD > HARM
7 REFUSED
8 DONT KNOW
9 NA
5345
GENEGOO2 Label: Genetic testing good or harm
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GOOD > HARM
2 HARM > GOOD
8 DONT KNOW
9 NA
5346
GENESELF Label: Would genetically test fetus
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HAVE TEST
2 NOT HAVE TEST
7 REFUSED
8 DONT KNOW
9 NA
5347
GENEABRT Label: Abort defective fetus
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HAVE ABORTION
2 NO ABORTION
7 REFUSED
8 DONT KNOW
9 NA
5348
GENEDEF1 Label: Meaning of serious genetic defect
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 DOWNS SYNDROME
2 MENTAL RETARDATION
3 SPINA BIFIDA
4 MUSCULAR DYSTROPHY
5 CYSTIC FIBROSIS
6 CEREBRAL PALSY
7 CRIPPLING DISEASES
10 BLIND,DEAF
11 MISSING LIMBS
12 MAJOR DEFORMITIES
13 LIFE-THREATENING DEFORM
14 HANDICAPPED
15 PHYSICAL DEFECTS
20 SICKLE CELL ANEMIA
21 RH FACTOR
22 HEMOPHILIA
30 ADDICTION TO DRUGS
31 AIDS
35 MULTIPLE SCLEROSIS
60 HEART
61 KIDNEYS
62 SIAMESE TWINS
70 INCURABLE DISEASE
71 TOURETTES SYNDROME
72 SEXUAL TRANSMITTED DISEASES
73 DIABETES
74 BIRTH DEFECTS
75 CANCER
76 PSYCHOLOGICAL PROBLEMS
77 NEUROLOGICAL PROBLEMS
78 HYDROCEPHALUS
79 HUNTINGTONS CHOREA
80 TAY-SACHS
81 REYES SYNDROME
90 UNABLE TO TAKE CARE OF SELF
95 OTHER
98 DONT KNOW
99 NA
5349
GENEDEF2 Label: Meaning of serious genetic defect
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 DOWNS SYNDROME
2 MENTAL RETARDATION
3 SPINA BIFIDA
4 MUSCULAR DYSTROPHY
5 CYSTIC FIBROSIS
6 CEREBRAL PALSY
7 CRIPPLING DISEASES
10 BLIND,DEAF
11 MISSING LIMBS
12 MAJOR DEFORMITIES
13 LIFE-THREATENING DEFORM
14 HANDICAPPED
15 PHYSICAL DEFECTS
20 SICKLE CELL ANEMIA
21 RH FACTOR
22 HEMOPHILIA
30 ADDICTION TO DRUGS
31 AIDS
35 MULTIPLE SCLEROSIS
60 HEART
61 KIDNEYS
62 SIAMESE TWINS
70 INCURABLE DISEASE
71 TOURETTES SYNDROME
72 SEXUAL TRANSMITTED DISEASES
73 DIABETES
74 BIRTH DEFECTS
75 CANCER
76 PSYCHOLOGICAL PROBLEMS
77 NEUROLOGICAL PROBLEMS
78 HYDROCEPHALUS
79 HUNTINGTONS CHOREA
80 TAY-SACHS
81 REYES SYNDROME
90 UNABLE TO TAKE CARE OF SELF
95 OTHER
98 DONT KNOW
99 NA
5350
GENEDEF3 Label: Meaning of serious genetic defect
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 DOWNS SYNDROME
2 MENTAL RETARDATION
3 SPINA BIFIDA
4 MUSCULAR DYSTROPHY
5 CYSTIC FIBROSIS
6 CEREBRAL PALSY
7 CRIPPLING DISEASES
10 BLIND,DEAF
11 MISSING LIMBS
12 MAJOR DEFORMITIES
13 LIFE-THREATENING DEFORM
14 HANDICAPPED
15 PHYSICAL DEFECTS
20 SICKLE CELL ANEMIA
21 RH FACTOR
22 HEMOPHILIA
30 ADDICTION TO DRUGS
31 AIDS
35 MULTIPLE SCLEROSIS
60 HEART
61 KIDNEYS
62 SIAMESE TWINS
70 INCURABLE DISEASE
71 TOURETTES SYNDROME
72 SEXUAL TRANSMITTED DISEASES
73 DIABETES
74 BIRTH DEFECTS
75 CANCER
76 PSYCHOLOGICAL PROBLEMS
77 NEUROLOGICAL PROBLEMS
78 HYDROCEPHALUS
79 HUNTINGTONS CHOREA
80 TAY-SACHS
81 REYES SYNDROME
90 UNABLE TO TAKE CARE OF SELF
95 OTHER
98 DONT KNOW
99 NA
5351
PARHARDR Label: Being parent now harder
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5352
PARWORSE Label: Parents doing worse than before
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5353
PARRGHT Label: Parents unsure what is right
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5354
PARWHERE Label: Parents don't know where kids are
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5355
PARFIN Label: Hard for parents to make ends meet
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5356
PARGOVT Label: Govt too involved in family life
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5357
PARTIME Label: Parents don't spend time with kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5358
PARWORK Label: If parents work, kids get in trouble
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5359
PARTAXES Label: Taxes reduce childbearing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DONT KNOW
9 NA
5360
ROLEMA Label: Role of mothers with kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GOOD
2 GOOD
3 FAIRLY GOOD
4 FAIRLY BAD
5 VERY BAD
8 DONT KNOW
9 NA
5361
ROLEPA Label: Role of father's with kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GOOD
2 GOOD
3 FAIRLY GOOD
4 FAIRLY BAD
5 VERY BAD
8 DONT KNOW
9 NA
5362
ROLEGP Label: Role of grandparents with kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GOOD
2 GOOD
3 FAIRLY GOOD
4 FAIRLY BAD
5 VERY BAD
8 DONT KNOW
9 NA
5363
ROLECCP Label: Role of childcare provdrs with kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GOOD
2 GOOD
3 FAIRLY GOOD
4 FAIRLY BAD
5 VERY BAD
8 DONT KNOW
9 NA
5364
ROLETCHR Label: Role of teachers with kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GOOD
2 GOOD
3 FAIRLY GOOD
4 FAIRLY BAD
5 VERY BAD
8 DONT KNOW
9 NA
5365
ROLECLRG Label: Role of clergy with kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY GOOD
2 GOOD
3 FAIRLY GOOD
4 FAIRLY BAD
5 VERY BAD
8 DONT KNOW
9 NA
5366
CHLDEDUC Label: Education improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5367
CHLDLOVE Label: Love improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5368
CHLDSAFE Label: Neighborhood safety improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5369
CHLDMORL Label: Moral-religious training improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5370
CHLDSUP Label: Supervision improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5371
CHLDHOME Label: Housing improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5372
CHLDHLTH Label: Health care improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5373
CHLDSKLS Label: Acquiring job skills improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5374
CHLDTIME Label: Time with kids improving?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MUCH BETTER
2 BETTER
3 ABOUT THE SAME
4 WORSE
5 MUCH WORSE
8 DONT KNOW
9 NA
5375
INFFILMS Label: Influence of movies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY POSITIVE
2 POSITIVE
3 NEUTRAL
4 NEGATIVE
5 VERY NEGATIVE
8 DONT KNOW
9 NA
5376
INFPUBTV Label: Influence of children's programs on public TV
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY POSITIVE
2 POSITIVE
3 NEUTRAL
4 NEGATIVE
5 VERY NEGATIVE
8 DONT KNOW
9 NA
5377
INFNETTV Label: Influence of programs on network TV
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY POSITIVE
2 POSITIVE
3 NEUTRAL
4 NEGATIVE
5 VERY NEGATIVE
8 DONT KNOW
9 NA
5378
INFADSTV Label: Influence of TV ads
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY POSITIVE
2 POSITIVE
3 NEUTRAL
4 NEGATIVE
5 VERY NEGATIVE
8 DONT KNOW
9 NA
5379
INFMUSIC Label: Influence of rock & roll
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY POSITIVE
2 POSITIVE
3 NEUTRAL
4 NEGATIVE
5 VERY NEGATIVE
8 DONT KNOW
9 NA
5380
SPPREGNT Label: Spending for prenatal care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5381
SPHLTHKD Label: Spending for health care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5382
SPHEADST Label: Spending for head start
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5383
SPPOORKD Label: Spending for childcare for poor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5384
SPWRKPAR Label: Spending for childcare for wrkeR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5385
SPHOMEKD Label: Spending for housing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5386
SPDSABKD Label: Spending for disabled kids
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5387
SPDRUGS Label: Spending for drug treatment
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5388
SPFOODKD Label: Spending for food, etc.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5389
SPPILL Label: Spending for birth control
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP-NO ISSP
1 SPEND MUCH MORE
2 SPEND MORE
3 SPEND SAME
4 SPEND LESS
5 SPEND MUCH LESS
8 CANT CHOOSE
9 NA
5390
PROB1 Label: First problem mentioned
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
995 CANT UNDERSTAND ANSWER
996 NO PROBLEMS
998 DONT KNOW
999 NA
5391
PROB2 Label: Second problem mentioned
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
995 CANT UNDERSTAND ANSWER
996 NO PROBLEMS
998 DONT KNOW
999 NA
5392
PROB3 Label: Third problem mentioned
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
995 CANT UNDERSTAND ANSWER
996 NO PROBLEMS
998 DONT KNOW
999 NA
5393
PROB4 Label: Fourth problem mentioned
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
995 CANT UNDERSTAND ANSWER
996 NO PROBLEMS
998 DONT KNOW
999 NA
5394
HLTH1 Label: Ill enough to go to a doctor
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5395
HLTH2 Label: Counseling for mental problems
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5396
HLTH3 Label: Infertility, unable to have a baby
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5397
HLTH4 Label: Drinking problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5398
HLTH5 Label: Illegal drugs (marijuana, cocaine)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5399
HLTH6 Label: (Husband, wife)partner in hospital
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5400
HLTH7 Label: A child in hospital
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5401
HLTH8 Label: Child on drugs, drinking problem
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5402
HLTH9 Label: A death of a close friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5403
HLTH10 Label: Respondent in hospital or sanatorium
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5404
HLTH11 Label: Respondent unable to work for one month or more
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5405
HLTH12 Label: A death of spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5406
HLTH13 Label: A death of child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5407
HLTH14 Label: A death of parents
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5408
WORK1 Label: Unemployed and looking for work a month +
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5409
WORK2 Label: Being demoted or move to worse position
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5410
WORK3 Label: A cut in pay or reduced hours
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5411
WORK4 Label: Being passed over for promotion
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5412
WORK5 Label: Having trouble with one's boss
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5413
WORK6 Label: Own business losing money or failing
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5414
WORK7 Label: A husband, wife, partner being fired
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5415
WORK8 Label: A husband, wife, partner cut in pay
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5416
WORK9 Label: Ones' spouse being unemployed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5417
WORK10 Label: During past 12 mo, R was unemployed and looking for work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5418
FINAN1 Label: Going bankrupt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5419
FINAN2 Label: Having a car etc. repossessed
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5420
FINAN3 Label: Pawning valuables to make ends meet
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5421
FINAN4 Label: Being pressured to pay bills
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5422
FINAN5 Label: Major worsening financial condition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5423
HRDSHP1 Label: Fall behind in paying rent, mortgage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5424
HRDSHP2 Label: Eviction from one's apartment, house
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5425
HRDSHP3 Label: Having the utilities shut-off
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5426
HRDSHP4 Label: Being unable to purchase needed food
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5427
HRDSHP5 Label: Unable to afford needed medical care
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5428
HRDSHP6 Label: Lacking health insurance coverage
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5429
HRDSHP7 Label: Homeless
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5430
FAMPER1 Label: Having serious trouble with spouse
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5431
FAMPER2 Label: Separating from spouse or partner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5432
FAMPER3 Label: Breaking up with fianc?e)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5433
FAMPER4 Label: Having serious trouble with a child
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5434
FAMPER5 Label: Having serious trouble with friend
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5435
FAMPER6 Label: Divorced or separated
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5436
LAW1 Label: A robbery
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5437
LAW2 Label: A Personal assault
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5438
LAW3 Label: Your home burglarized
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5439
LAW4 Label: Accused of crime
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5440
LAW5 Label: Arrested
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5441
LAW6 Label: Sued in civil case
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5442
LAW7 Label: Your child arrested
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5443
LIVE1 Label: Your home destroyed in disaster
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5444
LIVE2 Label: Your home in poor condition
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5445
LIVE3 Label: Major home repaiR's
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5446
LIVE4 Label: Serious problem with your landlord
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5447
OTH1 Label: Being discriminated against
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5448
OTH2 Label: Unable to get to school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5449
OTH3 Label: Child have trouble in school
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5450
OTH4 Label: Need but unable to use public transport.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5451
OTH5 Label: Do not have a car
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5452
EXTRA1 Label: Other problems
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
5453
EXTRA2 Label: Other problems
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
998 DK
999 NA
5454
POVLINE Label: R's hh poverty status
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 NOT IMPUTABLE
1 POOR
2 POOR -- IMPUTED
3 NOT POOR
4 NOT POOR -- IMPUTED
5 BORDERLINE
6 BORDERLINE -- IMPUTED
9 NA
5455
INCDEF Label: Distance below poverty line
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 NOT IMPUTABLE
1 < -10,000
2 -10,000 TO -5,000
3 -4,999 TO -1,000
4 -999 TO 999
5 1,000 TO 4,999
6 5,000 TO 9,999
7 10,000 TO 20,000
8 20,001 +
9 NA
5456
REALINC Label: Family income in constant $
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999999; 999998
Value Label
0 IAP
999998 DONT KNOW
999999 NA
5457
REALRINC Label: R's income in constant $
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999999; 999998
Value Label
0 IAP
999998 DONT KNOW
999999 NA
5458
CONINC Label: Family income in constant dollars
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999999; 999998
Value Label
0 IAP
999998 DONT KNOW
999999 NA
5459
CONRINC Label: Respondent income in constant dollars
Format: F6.0
Measure: Scale
Display Width: 8
Missing Values: 0; 999999; 999998
Value Label
0 IAP
999998 DONT KNOW
999999 NA
5460
MINFOUR Label: Imputed poverty line for family of four
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
5461
MINFOOD Label: Imputed wkly food spending for pov line fam of 4
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
5462
MINTHREE Label: Imputed poverty line for family of three
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9998 DK
9999 NA
5463
SECTECH Label: Should govt maintain secrecy over technology
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
5464
SECDOCS Label: Does govt classify too many documents as secrets
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 DK
9 NA
5465
RPTCOWRK Label: Report coworkers threatening secrecy of work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPORT COWORKER
2 ASK COWORKER TO STOP
3 REPORT COWRKR IF BEHAV CONT
4 NOT GET INVOLVED
8 DK
9 NA
5466
ASKFINAN Label: Govt investigate workers finances for security
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5467
ASKCRIME Label: Govt investigate workers crime records
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5468
ASKDRUGS Label: Govt investigate workers illegal drug use
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5469
ASKMENTL Label: Govt investigate workers mental health
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5470
ASKFORGN Label: Govt investigate workers foreign family
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5471
ASKDRINK Label: Govt investigate workers alcohol use
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5472
ASKSEXOR Label: Govt investigate workers sexual orientation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5473
ASKFRBIZ Label: Govt investigate foreign business contacts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5474
ASKFRTRV Label: Govt investigate foreign travel
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5475
ASKCOMP Label: Govt investigate use of computers
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DK
9 NA
5476
SECPRVCY Label: Govt favor secrecy over workers privacy?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FAVOR INDIV RIGHT
2 FAVOR GOVT RIGHT
8 DK
9 NA
5477
SECDIPLO Label: Government maintain secrecy on diplomatic initiatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DONT KNOW
9 NA
5478
SECMILOP Label: Government maintain secrecy on military operations
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DONT KNOW
9 NA
5479
SECTERR Label: Government maintain secrecy on domestic terrorism
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DONT KNOW
9 NA
5480
SECBUDGT Label: Government maintain secrecy on the intelligence budget
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DONT KNOW
9 NA
5481
CHKFINAN Label: Government should verify financial assets
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Definitely should
2 Probably should
3 Probably should not
4 Definitely should not
8 DONT KNOW
9 NO ANSWER
5482
CHKSPFIN Label: Government should verify spouse's financial assets
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DONT KNOW
9 NA
5483
CHKTAXES Label: Government should verify tax records
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DEFINITELY SHOULD
2 PROBABLY SHOULD
3 PROBABLY SHOULD NOT
4 DEFINITELY SHOULD NOT
8 DONT KNOW
9 NA
5484
KNOMENTL Label: Gov should have the right to know
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NOTHING ABOUT MENTAL HEALTH
2 WHETHER CURRENTLY CONSULTING
3 EVER CONSULTED A MENTAL
4 EVER CONSULTED & DIAGNOSIS
5 DIAGNOSIS & CONFIDENT. INFO
8 DONT KNOW
9 NA
5485
TAKEARMS Label: Punishment for stealing and selling weapons
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISS MILITARY
3 ONE YEAR PRISON
4 5-9 YEARS PRISON
5 10-20 YRS PRISON
6 LIFE IN PRISON
8 DK
9 NA
5486
LEAKINFO Label: Punishment for official leaking information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISS MILITARY
3 1 YEAR IN PRISON
4 5-9 YRS PRISON
5 10-20 YRS PRISON
6 LIFE IN PRISON
8 DK
9 NA
5487
SPYENEMY Label: Punishment for selling secrets to hostile foreign gov
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISS/MILITARY
3 ONE YR IN PRISON
4 5-9 YRS IN PRISN
5 10-20 YRS PRISON
6 LIFE IN PRISON
8 DK
9 NA
5488
SPYFREND Label: Punishment for selling secrets to friend foreign gov
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISS/MILITARY
3 ONE YEAR PRISON
4 5-9 YEARS PRISON
5 10-20 YRS PRISON
6 LIFE IN PRISON
8 DK
9 NA
5489
TAKETRCK Label: Punishment for stealing and selling truck parts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISS MILITARY
3 ONE YEAR PRISON
4 5-9 YEARS PRISON
5 10-20 YRS PRISON
6 LIFE IN PRISON
8 DK
9 NA
5490
PUNARMS Label: Punishment stealing and selling arms
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5491
PUNLEAK Label: Punishment leaking sensitive information
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5492
PUNENMY Label: Punishment selling info to foreign enemies
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5493
PUNFRND Label: Punishment selling info to friendly countries
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5494
PUNTRCK Label: Punishment stealing govt truck parts
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5495
COMSTEAL Label: Punishment stealing national security computer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5496
COMDATA Label: Punishment damaging national security computer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5497
COMSYS Label: Punishment for damaging a computer system
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5498
COMSNOOP Label: Punishment for snooping in a computer system
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5499
COMEMAIL Label: Punishment emailing documents unauthorized per
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5500
COMPORN Label: Punishment for downloading porn at office
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 REPRIMAND
2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT
3 ONE YEAR IN PRISON
4 5-9 YEARS IN PRISON
5 10-20 YEARS IN PRISON
6 LIFE IN PRISON
8 DK
9 NA
5501
LIETEST Label: People with secret should be subject to lie tests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
5502
TESTDRUG Label: People with secret should be subject to drug tests
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
5503
BUGGING Label: People with secret should be subject to wiretapping
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
5504
FINANQS Label: People with secret should be subject to ques. of finan
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
5505
CHKONJOB Label: People with secret should be subject to monitoring
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
5506
CHKOTHER Label: People with secret should be subject to monitoring of
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NOT AGREE/DSAGRE
4 DISAGREE
5 STRONG DISAGREE
8 DK
9 NA
5507
COMPFIN Label: Govt check Personal financial records
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5508
CHKTRAVL Label: Govt check international travel records
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5509
EMAILWRK Label: Govt audit email and internet at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5510
EMAILHME Label: Govt audit email and internet at home
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5511
TAPWRK Label: Govt wire-tap work phone line
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5512
TAPHME Label: Govt wire-tap home phone line
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5513
SRCHWRK Label: Govt search briefcases and desks at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5514
CAMWRK Label: Govt camera surveillance at work
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 NEITHER AGREE NOR DISAGREE
4 DISAGREE
5 STRONGLY DISAGREE
8 CANT CHOOSE
9 NA
5515
USSPY Label: U.S. spies foreign govts more threat 10 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATER
2 ABOUT THE SAME
3 LESS
8 DK
9 NA
5516
FORSPY Label: Foreign spies more threat 10 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATER
2 ABOUT THE SAME
3 LESS
8 DK
9 NA
5517
USTERROR Label: Terrorism by U.S. citizens more threat 10 yrs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATER
2 ABOUT THE SAME
3 LESS
8 DK
9 NA
5518
FRTERROR Label: Terrorism by foreigneR's more threat 10 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATER
2 ABOUT THE SAME
3 LESS
8 DK
9 NA
5519
FORSTEAL Label: ForeigneR's stealing U.S. tech more threat 10 y
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATER
2 ABOUT THE SAME
3 LESS
8 DK
9 NA
5520
NUCLRWAR Label: Nuclear war more threat 10 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 GREATER
2 ABOUT THE SAME
3 LESS
8 DK
9 NA
5521
ETHNIC Label: Country of family origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5522
ETH1 Label: 1st mentioned country of origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5523
ETH2 Label: 2nd mentioned country of origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5524
ETH3 Label: 3rd mentioned country of origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5525
ETHNUM Label: Type of response about ethnicity:R
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 5
Value Label
1 NAMES 1
2 CHOOSES 1 OF 2+
3 CANNOT CHOOSE 1
4 CANNOT NAME ANY
5 UNCODEABLE
5526
SPETHNIC Label: Country of spouse's family origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5527
SPETH1 Label: 1st mentioned country of spouse's origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5528
SPETH2 Label: 2nd mentioned country of spouse's origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5529
SPETH3 Label: 3rd mentioned country of spouse's origin
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 UNCODEABLE & IAP
1 AFRICA
2 AUSTRIA
3 FRENCH CANADA
4 OTHER CANADA
5 CHINA
6 CZECHOSLOVAKIA
7 DENMARK
8 ENGLAND & WALES
9 FINLAND
10 FRANCE
11 GERMANY
12 GREECE
13 HUNGARY
14 IRELAND
15 ITALY
16 JAPAN
17 MEXICO
18 NETHERLANDS
19 NORWAY
20 PHILIPPINES
21 POLAND
22 PUERTO RICO
23 RUSSIA
24 SCOTLAND
25 SPAIN
26 SWEDEN
27 SWITZERLAND
28 WEST INDIES
29 OTHER
30 AMERICAN INDIAN
31 INDIA
32 PORTUGAL
33 LITHUANIA
34 YUGOSLAVIA
35 RUMANIA
36 BELGIUM
37 ARABIC
38 OTHER SPANISH
39 NON-SPAN WINDIES
40 OTHER ASIAN
41 OTHER EUROPEAN
97 AMERICAN ONLY
98 NO ETH MENTIONED
99 NA
5530
SPETHNUM Label: Type of response about ethnicity:sp
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 5
Value Label
0 IAP
1 NAMES 1
2 CHOOSES 1 OF 2+
3 CANNOT CHOOSE 1
4 CANNOT NAME ANY
5 UNCODEABLE
5531
RACESEE Label: Observed race
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 WHITE
2 BLACK
3 OTHER
4 HISPANIC
5 BLACK AND WHITE
6 SPANISH
7 FILIPINO
8 AMERICAN INDIAN
9 ASIAN
10 YELLOW
11 MEXICAN
12 BROWN
13 LATINO
14 MIDDLE EASTERN
15 PUERTO RICAN
16 INDIAN
17 ALASKA NATIVE
18 PACIFIC ISLANDER
19 CUBAN
20 JAPANESE
21 ORIENTAL
22 TRINIDAD
98 DK
99 NA
5532
RACEDBTF Label: Certainty of observed race
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 NO DOUBT
2 SOME DOUBT, PRETTY SURE
3 A LOT OF DOUBT, PRETTY UNSURE
4 COMPLETELY UNSURE
8 DK
9 NA
5533
RACESELF Label: R's own racial id
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WHITE
2 BLACK
3 OTHER
8 DK
9 NA
5534
HISPANIC Label: Hispanic specified
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT HISPANIC
2 MEXICAN, MEXICAN AMERICAN, CHICANO/A
3 PUERTO RICAN
4 CUBAN
5 SALVADORIAN
6 GUATEMALAN
7 PANAMANIAN
8 NICARAGUAN
9 COSTA RICAN
10 CENTRAL AMERICAN
11 HONDURAN
15 DOMINICAN
16 WEST INDIAN
20 PERUVIAN
21 EQUADORIAN
22 COLUMBIAN
23 VENEZUELAN
24 Argentinian
25 Chilean
30 SPANISH
31 BASQUE
35 FILIPINO/A
40 LATIN AMERICAN
41 SOUTH AMERICAN
42 American
45 LATIN
46 LATINO/A
47 HISPANIC
50 OTHER, NOT SPECIFIED
98 DK
99 NA
5535
RACECEN1 Label: What Is R's race 1st mention
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 WHITE
2 BLACK OR AFRICAN AMERICAN
3 AMERICAN INDIAN OR ALASKA NATIVE
4 ASIAN INDIAN
5 CHINESE
6 FILIPINO
7 JAPANESE
8 KOREAN
9 VIETNAMESE
10 OTHER ASIAN
11 NATIVE HAWAIIAN
12 GUAMANIAN OR CHAMORRO
13 SAMOAN
14 OTHER PACIFIC ISLANDER
15 SOME OTHER RACE
16 HISPANIC
98 DK
99 NA
5536
RACECEN2 Label: What Is R's race 2nd mention
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 WHITE
2 BLACK OR AFRICAN AMERICAN
3 AMERICAN INDIAN OR ALASKA NATIVE
4 ASIAN INDIAN
5 CHINESE
6 FILIPINO
7 JAPANESE
8 KOREAN
9 VIETNAMESE
10 OTHER ASIAN
11 NATIVE HAWAIIAN
12 GUAMANIAN OR CHAMORRO
13 SAMOAN
14 OTHER PACIFIC ISLANDER
15 SOME OTHER RACE
16 HISPANIC
98 DK
99 NA
5537
RACECEN3 Label: What Is R's race 3rd mention
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 WHITE
2 BLACK OR AFRICAN AMERICAN
3 AMERICAN INDIAN OR ALASKA NATIVE
4 ASIAN INDIAN
5 CHINESE
6 FILIPINO
7 JAPANESE
8 KOREAN
9 VIETNAMESE
10 OTHER ASIAN
11 NATIVE HAWAIIAN
12 GUAMANIAN OR CHAMORRO
13 SAMOAN
14 OTHER PACIFIC ISLANDER
15 SOME OTHER RACE
16 HISPANIC
98 DK
99 NA
5538
DIFRACE1 Label: Why observation disagrees self id
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 R NOT SERIOUS
2 HISPANIC CHOSEN OVER WHITE
3 HISPANIC CHOSEN OVER BLACK
4 PHYSICALLY DOESN'T MATCH RACE
5 RACIALLY MIXED
6 R REJECTS RACIAL CATEGORIES
7 R REJECTS 'BLACK' LABEL
8 IS MARRIED TO MEMBER OF ANOTHER RACE
9 WHITE OR BLACK CHOSEN OVER HISPANIC
10 FEELINGS, NOT BIOLOGY MATTERS
11 IDENTIFIES WITH OTHER THAN 'REAL' RACE
12 OTHER HISPANIC COMPLICATIONS
98 DK
99 NA
5539
DIFRACE2 Label: Why observation disagrees self id
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 R NOT SERIOUS
2 HISPANIC CHOSEN OVER WHITE
3 HISPANIC CHOSEN OVER BLACK
4 PHYSICALLY DOESN'T MATCH RACE
5 RACIALLY MIXED
6 R REJECTS RACIAL CATEGORIES
7 R REJECTS 'BLACK' LABEL
8 IS MARRIED TO MEMBER OF ANOTHER RACE
9 WHITE OR BLACK CHOSEN OVER HISPANIC
10 FEELINGS, NOT BIOLOGY MATTERS
11 IDENTIFIES WITH OTHER THAN 'REAL' RACE
12 OTHER HISPANIC COMPLICATIONS
98 DK
99 NA
5540
DIFRACE3 Label: Why observation disagrees self id
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 R NOT SERIOUS
2 HISPANIC CHOSEN OVER WHITE
3 HISPANIC CHOSEN OVER BLACK
4 PHYSICALLY DOESN'T MATCH RACE
5 RACIALLY MIXED
6 R REJECTS RACIAL CATEGORIES
7 R REJECTS 'BLACK' LABEL
8 IS MARRIED TO MEMBER OF ANOTHER RACE
9 WHITE OR BLACK CHOSEN OVER HISPANIC
10 FEELINGS, NOT BIOLOGY MATTERS
11 IDENTIFIES WITH OTHER THAN 'REAL' RACE
12 OTHER HISPANIC COMPLICATIONS
98 DK
99 NA
5541
RACETHWH Label: Points assigned to white
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
5542
RACETHHI Label: Points assigned to Hispanic/latino
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
5543
RACETHBL Label: Points assigned to black/african American
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
5544
RACETHAS Label: Points assigned to Asian American
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
5545
RACETHNA Label: Points assigned to native American/American Indian
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 DK
99 NA
5546
RACETHOT Label: Points assigned to other
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
98 Don't Know
99 No Answer
5547
RACETHMN Label: Specify other in racethot
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 European
2 Hispanic
3 African
4 East Asian
5 Native American
6 South Asian
7 Asian, not East or South
8 Other
98 DK
99 NA
5548
USCITZN Label: Is R US citizen
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 A U.S. Citizen
2 Not a U.S. Citizen
3 A U.S. CITIZEN BORN IN PUERTO RICO, THE U.S. VIRGIN ISLANDS, OR THE NORTHERN MARIANAS ISLANDS
4 BORN OUTSIDE OF THE UNITED STATES TO PARENTS WHO WERE U.S CITIZENS AT THAT TIME (IF VOLUNTEERED)
8 DONT KNOW
9 NA
5549
FUCITZN Label: Is R planning/appling for US citizenship or not
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Currently applying for U.S. citizenship
2 Planning to apply for U.S. citizenship
3 Not planning to apply to U.S. citizenship
4 NOT ELIGIBLE TO BECOME A U.S. CITIZEN (IF VOLUNTEERED)
8 DONT KNOW
9 NA
5550
VETYEARS Label: Years in armed forces
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 NONE
1 LESS THAN 2 YRS
2 2 TO 4 YEARS
3 MORE THAN 4 YRS
4 SOME,DK HOW LONG
9 NA
5551
VETKIND Label: Branch of service
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 SEVERAL
1 AIR FORCE GUARD
2 AIR FORCE
3 NAVY
4 ARMY
5 NATIONAL GUARD
6 MARINES
7 COAST GUARD
8 PUBLIC HEALTH
9 NA
5552
WORKDY Label: Days R normally works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 MON TO FRI
2 MON TO FRI,SAT
3 MON TO FRI,SUN
4 WKEND PLUS
5 NO SCHEDULE
9 NA
5553
WORKHR Label: Hours R usually works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 REG DAY
2 EVE
3 NIGHTS
4 VARIES
5 OTHER
9 NA
5554
SPDAYS Label: Days spouse normally works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 MON TO FRI
2 MON TO FRI,SAT
3 MON TO FRI,SUN
4 WKEND PLUS
5 NO SCHEDULE
9 NA
5555
SPHOUR Label: Hours spouse usually works
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 REG DAY
2 EVE
3 NIGHTS
4 VARIES
5 OTHER
9 NA
5556
DWELLING Label: Type of structure
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 TRAILER
2 DETACHED 1-FAM HOUSE
3 2 UNITS SIDE BY SIDE
4 2 UNITS-ONE ABOVE
5 3-4 FAM HOUSE
6 ROW HOUSE
7 APARTMENT HOUSE
8 APARTMENT-4 STORIES
9 APARTMENT-COMMERCIAL
10 OTHER
98 DK
99 NA
5557
DWELNGH Label: Dwelling compared to others in nbrhd
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 FAR ABOVE AVERAGE
2 ABOVE AVERAGE
3 AVERAGE
4 BELOW AVERAGE
5 FAR BELOW AVERAGE
9 NA
5558
DWELCITY Label: Dwelling compared to others in city
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 FAR ABOVE AVERAGE
2 ABOVE AVERAGE
3 AVERAGE
4 BELOW AVERAGE
5 FAR BELOW AVERAGE
9 NA
5559
DWELOWN Label: Does R own or rent home?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 OWN OR IS BUYING
2 PAYS RENT
3 OTHER
8 DK
9 NA
5560
WORDA Label: Word a
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5561
WORDB Label: Word b
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5562
WORDC Label: Word c
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5563
WORDD Label: Word d
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5564
WORDE Label: Word e
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5565
WORDF Label: Word f
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5566
WORDG Label: Word g
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5567
WORDH Label: Word h
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5568
WORDI Label: Word i
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5569
WORDJ Label: Word j
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 9
Value Label
-1 IAP
0 INCORRECT
1 CORRECT
9 NA
5570
WORDSUM Label: Number words correct in vocabulary test
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
99 DID NOT TRY
5571
GODOC Label: Last week went to see a doctor?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5572
EATOUT Label: Last week had a meal at a restaurant
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5573
SEEFILM Label: Last week went to see a film?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5574
ATTRELIG Label: Last week attended religious services?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5575
NUMDAYS Label: Number of days attended religious services
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
8 DK
9 NA
5576
SUNDAY Label: Attended religious services last sunday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5577
MONDAY Label: Attended religious services last monday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5578
TUESDAY Label: Attended religious services last tuesday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5579
WEDNESDY Label: Attended religious services last wednesday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5580
THURSDAY Label: Attended religious services last thursday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5581
FRIDAY Label: Attended religious services last friday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5582
SATURDAY Label: Attended religious services last saturday
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5583
ATTREG Label: Last 7 days attend a worship service
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5584
MEDIAREL Label: Watch a religious program on television-radio?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5585
OTHREL Label: Attend some other type of religious event
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5586
OTHREL1 Label: What type of religious events or meetings
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 BIBLE STUDY,CLASS
2 CHOIR, CHORAL, CONCERT, PLAY
3 DISCUSSION GROUP
4 LECTURE
5 GOVERNING BOARD, ETC
6 PREACHING, TAUGHT SUNDAY SCHOOL
7 PRAYER GROUP, BREAKFAST, MEETING
8 COUNSELING
9 WORSHIP SERVICE
10 OTHER, RELIGIOUS
11 OTHER, NON-RELIGIOUS
98 DK
99 NA
5587
OTHREL2 Label: What type of religious events or meetings
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 BIBLE STUDY,CLASS
2 CHOIR, CHORAL, CONCERT, PLAY
3 DISCUSSION GROUP
4 LECTURE
5 GOVERNING BOARD, ETC
6 PREACHING, TAUGHT SUNDAY SCHOOL
7 PRAYER GROUP, BREAKFAST, MEETING
8 COUNSELING
9 WORSHIP SERVICE
10 OTHER, RELIGIOUS
11 OTHER, NON-RELIGIOUS
98 DK
99 NA
5588
OTHREL3 Label: What type of religious events or meetings
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 BIBLE STUDY,CLASS
2 CHOIR, CHORAL, CONCERT, PLAY
3 DISCUSSION GROUP
4 LECTURE
5 GOVERNING BOARD, ETC
6 PREACHING, TAUGHT SUNDAY SCHOOL
7 PRAYER GROUP, BREAKFAST, MEETING
8 COUNSELING
9 WORSHIP SERVICE
10 OTHER, RELIGIOUS
11 OTHER, NON-RELIGIOUS
98 DK
99 NA
5589
ATTWEEK Label: Attend religious events during the last week
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5590
RELIGID Label: R's religious identity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 FUNDAMENTALIST
2 EVANGELICAL
3 MAINLINE
4 LIBERAL
5 NONE
6 OTHER
8 DK
9 NA
5591
RELID1 Label: Protestant identification 1st mention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PENTECOSTAL
2 FUNDAMENTALIST
3 EVANGELICAL
4 MAINLINE
5 LIBERAL
6 NONE
7 OTHER (SPECIFY)
8 DK
9 NA
5592
RELID2 Label: Protestant identification 2nd mention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PENTECOSTAL
2 FUNDAMENTALIST
3 EVANGELICAL
4 MAINLINE
5 LIBERAL
6 NONE
7 OTHER (SPECIFY)
8 DK
9 NA
5593
RELID3 Label: Protestant identification 3rd mention
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PENTECOSTAL
2 FUNDAMENTALIST
3 EVANGELICAL
4 MAINLINE
5 LIBERAL
6 NONE
7 OTHER (SPECIFY)
8 DK
9 NA
5594
RELIDBST Label: Protestant identification best group
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 PENTECOSTAL
2 FUNDAMENTALIST
3 EVANGELICAL
4 MAINLINE
5 LIBERAL
6 NONE
7 OTHER (SPECIFY)
8 DK
9 NA
5595
CATHID Label: If catholic what identity
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 TRADITIONAL
2 MODERATE
3 LIBERAL
4 NONE
6 OTHER (SPECIFY)
8 DK
9 NA
5596
CHARISMA Label: Is R associated with charismatic movement
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5597
RELATE1 Label: Relationship of 1st person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5598
GENDER1 Label: Gender of 1st person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5599
OLD1 Label: Age of 1st person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5600
MAR1 Label: Marital status of 1st person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5601
AWAY1 Label: Is 1st person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5602
WHERE1 Label: Where is 1st person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5603
RELATE2 Label: Relationship of 2nd person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5604
GENDER2 Label: Gender of 2nd person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5605
OLD2 Label: Age of 2nd person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5606
MAR2 Label: Marital status of 2nd person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5607
AWAY2 Label: Is 2nd person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5608
WHERE2 Label: Where is 2nd person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5609
RELATE3 Label: Relationship of 3rd person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5610
GENDER3 Label: Gender of 3rd person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5611
OLD3 Label: Age of 3rd person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5612
MAR3 Label: Marital status of 3rd person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5613
AWAY3 Label: Is 3rd person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5614
WHERE3 Label: Where is 3rd person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5615
RELATE4 Label: Relationship of 4th person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5616
GENDER4 Label: Gender of 4th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5617
OLD4 Label: Age of 4th person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5618
MAR4 Label: Marital status of 4th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5619
AWAY4 Label: Is 4th person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5620
WHERE4 Label: Where is 4th person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5621
RELATE5 Label: Relationship of 5th person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5622
GENDER5 Label: Gender of 5th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5623
OLD5 Label: Age of 5th person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5624
MAR5 Label: Marital status of 5th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5625
AWAY5 Label: Is 5th person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5626
WHERE5 Label: Where is 5th person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5627
RELATE6 Label: Relationship of 6th person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5628
GENDER6 Label: Gender of 6th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5629
OLD6 Label: Age of 6th person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5630
MAR6 Label: Marital status of 6th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5631
AWAY6 Label: Is 6th person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5632
WHERE6 Label: Where is 6th person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5633
RELATE7 Label: Relationship of 7th person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5634
GENDER7 Label: Gender of 7th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5635
OLD7 Label: Age of 7th person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5636
MAR7 Label: Marital status of 7th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5637
AWAY7 Label: Is 7th person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5638
WHERE7 Label: Where is 7th person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5639
RELATE8 Label: Relationship of 8th person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5640
GENDER8 Label: Gender of 8th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5641
OLD8 Label: Age of 8th person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5642
MAR8 Label: Marital status of 8th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5643
AWAY8 Label: Is 8th person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5644
WHERE8 Label: Where is 8th person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5645
RELATE9 Label: Relationship of 9th person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5646
GENDER9 Label: Gender of 9th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5647
OLD9 Label: Age of 9th person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5648
MAR9 Label: Marital status of 9th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5649
AWAY9 Label: Is 9th person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5650
WHERE9 Label: Where is 9th person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5651
RELATE10 Label: Relationship of 10th person to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5652
GENDER10 Label: Gender of 10th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5653
OLD10 Label: Age of 1oth person
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5654
MAR10 Label: Marital status of 10th person
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5655
AWAY10 Label: Is 10th person staying somewhere else now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5656
WHERE10 Label: Where is 1oth person staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5657
RELATE11 Label: Relation of 11th person (visitor) to head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5658
GENDER11 Label: Gender of 11th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5659
OLD11 Label: Age of 11th person (visitor)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5660
MAR11 Label: Marital status of 11th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5661
AWAY11 Label: Is 11th person (visitor) staying elsewhere now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5662
WHERE11 Label: Where is 11th person (visitor) staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5663
RELATE12 Label: Relation of 12th person (visitor) to head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5664
GENDER12 Label: Gender of 12th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5665
OLD12 Label: Age of 12th person (visitor)
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5666
MAR12 Label: Marital status of 12th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5667
AWAY12 Label: Is 12th person (visitor) staying elsewhere now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5668
WHERE12 Label: Where is 12th person (visitor) staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5669
RELATE13 Label: Relation of 13th person (visitor) to head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5670
GENDER13 Label: Gender of 13th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5671
OLD13 Label: Age of 13th person (visitor)
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5672
MAR13 Label: Marital status of 13th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5673
AWAY13 Label: Is 13th person (visitor) staying elsewhere now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5674
WHERE13 Label: Where is 13th person (visitor) staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5675
RELATE14 Label: Relation of 14th person (visitor) to head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5676
GENDER14 Label: Gender of 14th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MALE
2 FEMALE
8 DK
9 NA
5677
OLD14 Label: Age of 14th person (visitor)
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 98; 99
Value Label
-1 IAP
97 97 or older
98 DK
99 NA
5678
MAR14 Label: Marital status of 14th person (visitor)
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 MARRIED
2 WIDOWED
3 DIVORCED
4 SEPARATED
5 NEVER MARRIED
8 DK
9 NA
5679
AWAY14 Label: Is 14th person (visitor) staying elsewhere now?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
8 DK
9 NA
5680
WHERE14 Label: Where is 14th person (visitor) staying?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 ANOTHER HOUSEHOLD
2 TRAVELING
3 INSTITUTION
4 OTHER, DK
9 NA
5681
RELHHD1 Label: Relation of 1st person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5682
RELHHD2 Label: Relation of 2nd person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5683
RELHHD3 Label: Relation of 3rd person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5684
RELHHD4 Label: Relation of 4th person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5685
RELHHD5 Label: Relation of 5th person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5686
RELHHD6 Label: Relation of 6th person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5687
RELHHD7 Label: Relation of 7th person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5688
RELHHD8 Label: Relation of 8th person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5689
RELHHD9 Label: Relation of 9th person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5690
RELHHD10 Label: Relation of 1oth person to household head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5691
RELHHD11 Label: Relation of 11th person (visitor) to head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5692
RELHHD12 Label: Relation of 12th person (visitor) to head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5693
RELHHD13 Label: Relation of 13th person (visitor) to head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5694
RELHHD14 Label: Relation of 14th person (visitor) to head
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC
4 CHILD,NATURAL OR ADOPTED,STEPCHILD
5 GRANDCHILD,GREAT-GRANCHILD
6 SON-IN-LAW,DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT,GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING-
14 SIBLING-IN-LAW
15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.-
16 ROOMMATE,HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER-
98 DK
99 NA
5695
HEFINFO Label: Number of hef informant
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 1ST PERSON
2 2ND PERSON
3 3RD PERSON
4 4TH PERSON
5 5TH PERSON
6 6TH PERSON
7 7TH PERSON
8 8TH PERSON
9 9TH PERSON
10 10TH PERSON
11 11TH PERSON
12 12TH PERSON
13 13TH PERSON
14 14TH PERSON
22 NOT IN HOUSEHOLD
98 DK
99 NA
5696
HHRACE Label: Race of household
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WHITE
2 BLACK
3 AMER INDIAN
4 ASIATIC, ORIENTAL
5 OTHER, MIXED
8 DK
9 NA
5697
RESPNUM Label: Number in family of R
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
1 1ST PERSON
2 2ND PERSON
3 3RD PERSON
4 4TH PERSON
5 5TH PERSON
6 6TH PERSON
7 7TH PERSON
8 8TH PERSON
9 9TH PERSON
10 10TH PERSON
11 11TH PERSON
12 12TH PERSON
13 13TH PERSON
14 14TH PERSON
99 NA
5698
HHTYPE Label: Household type
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
1 1ADLT,0KIDS
2 1ADLT,1+KIDS
3 2ADLTS,MAR,0KIDS
4 2ADLTS,MAR,1+KIDS
5 2ADLTS,DKMAR,0KIDS
6 2ADLTS,DKMAR,1+KIDS
7 2AS,NTMAR,NTREL,OPSEX,0KS
8 2AS,NTMAR,NTREL,OPSEX,1+KS
9 2AS,NTMAR,NTREL,SMSEX,0KS
10 2AS,NTMAR,NTREL,SMSEX,1+KS
11 2ADLTS,NTMAR,REL,0KIDS
12 2ADLTS,NTMAR,REL,1+KIDS
13 2ADLTS,NTMAR,DKREL,0KIDS
14 2ADLTS,NTMAR,DKREL,1+KIDS
15 2AS,NTMAR,NTREL,DKSEX,0KS
16 2AS,NTMAR,NTREL,DKSEX,1+KS
20 3ADLT,0MAR,SP,0KIDS
21 3ADLTS,0MAR,SP,REL,0KIDS
22 3ADLTS,0MAR,REL,SP,0KIDS
23 3ADLTS,0MAR,REL,0KIDS
24 3ADLTS,0MAR,SP,NTREL,0KIDS
25 3ADLTS,0MAR,NTREL,SP,0KIDS
26 3ADLTS,0MAR,REL,0KIDS
27 3ADLTS,0MAR,NTREL,REL,0KIDS
28 3ADLTS,0MAR,NTREL,0KIDS
30 3ADLTS,1MAR,SP,0KIDS
31 3ADLTS,1MAR,SP,REL,0KIDS
32 3ADLTS,1MAR,REL,SP,0KIDS
33 3ADLTS,1MAR,REL,REL,0KIDS
34 3ADLTS,1MAR,SP,NTREL,0KIDS
35 3ADLTS,1MAR,NTREL,SP,0KIDS
36 3ADLTS,1MAR,REL,NTREL,0KIDS
37 3ADLTS,1MAR,NTREL,REL,0KIDS
38 3ADLTS,1MAR,NTREL,0KIDS
40 3ADLTS,2MAR,SP,0KIDS
41 3ADLTS,2MAR,SP,REL,0KIDS
42 3ADLTS,2MAR,REL,SP,0KIDS
43 3ADLTS,2MAR,REL,0KIDS
44 3ADLTS,2MAR,SP,NTREL,0KIDS
45 3ADLTS,2MAR,REL,NTREL,0KIDS
46 3ADLTS,2MAR,REL,NTREL,0KIDS
47 3ADLTS,2MAR,NTREL,REL,0KIDS
48 3ADLTS,2MAR,NTREL,0KIDS
50 3ADLTS,3MAR,SP,0KIDS
51 3ADLTS,3MAR,SP,REL,0KIDS
52 3ADLTS,3MAR,SP,REL,0KIDS
53 3ADLTS,3MAR,REL,0KIDS
54 3ADLTS,3MAR,SP,NTREL,0KIDS
55 3ADLTS,3MAR,NTREL,SP,0KIDS
56 3ADLTS,3MAR,REL,NTREL,0KIDS
57 3ADLTS,3MAR,NTREL,REL,0KIDS
58 3ADLTS,3MAR,NTREL,0KIDS
100 4+ADLTS,0MAR,0KIDS
101 4+ADLTS,1MAR,0KIDS
102 4+ADLTS,2MAR,0KIDS
103 4+ADLTS,3MAR,0KIDS
104 4+ADLTS,4+MAR,0KIDS
120 3ADLT,0MAR,SP,1+KIDS
121 3ADLTS,0MAR,SP,REL,1+KIDS
122 3ADLTS,0MAR,REL,SP,1+KIDS
123 3ADLTS,0MAR,REL,1+KIDS
124 3ADLTS,0MAR,SP,NTREL,1+KIDS
125 3ADLTS,0MAR,NTREL,SP,1+KIDS
126 3ADLTS,0MAR,REL,1+KIDS
127 3ADLTS,0MAR,NTREL,REL,1+KIDS
128 3ADLTS,0MAR,NTREL,1+KIDS
130 3ADLTS,1MAR,SP,1+KIDS
131 3ADLTS,1MAR,SP,REL,1+KIDS
132 3ADLTS,1MAR,REL,SP,1+KIDS
133 3ADLTS,1MAR,REL,REL,1+KIDS
134 3ADLTS,1MAR,SP,NTREL,1+KIDS
135 3ADLTS,1MAR,NTREL,SP,1+KIDS
136 3ADLTS,1MAR,REL,NTREL,1+KIDS
137 3ADLTS,1MAR,NTREL,REL,1+KIDS
138 3ADLTS,1MAR,NTREL,1+KIDS
140 3ADLTS,2MAR,SP,1+KIDS
141 3ADLTS,2MAR,SP,REL,1+KIDS
142 3ADLTS,2MAR,REL,SP,1+KIDS
143 3ADLTS,2MAR,REL,1+KIDS
144 3ADLTS,2MAR,SP,NTREL,1+KIDS
145 3ADLTS,2MAR,REL,NTREL,1+KIDS
146 3ADLTS,2MAR,REL,NTREL,1+KIDS
147 3ADLTS,2MAR,NTREL,REL,1+KIDS
148 3ADLTS,2MAR,NTREL,1+KIDS
150 3ADLTS,3MAR,SP,1+KIDS
151 3ADLTS,3MAR,SP,REL,1+KIDS
152 3ADLTS,3MAR,SP,REL,1+KIDS
153 3ADLTS,3MAR,REL,1+KIDS
154 3ADLTS,3MAR,SP,NTREL,1+KIDS
155 3ADLTS,3MAR,NTREL,SP,1+KIDS
156 3ADLTS,3MAR,REL,NTREL,1+KIDS
157 3ADLTS,3MAR,NTREL,REL,1+KIDS
158 3ADLTS,3MAR,NTREL,1+KIDS
200 4+ADLTS,0MAR,1+KIDS
201 4+ADLTS,1MAR,1+KIDS
202 4+ADLTS,2MAR,1+KIDS
203 4+ADLTS,3MAR,1+KIDS
204 4+ADLTS,4+MAR,1+KIDS
998 DK
999 NA
5699
HHTYPE1 Label: Household type (condensed)
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 MARRIED COUPLE, NO CHILDREN
2 SINGLE PARENT
3 OTHER FAM., NO CHILDREN
4 SINGLE ADULT
5 COHAB COUPLE, NO CHILDREN
6 NON-FAMILY, NO CHILDREN
8 UNSURE, NO CHILDREN
11 MARRIED COUPLE W CHILDREN
13 OTHER FAMILY W CHILDREN
15 COHAB COUPLE W CHILDREN
16 NON-FAMILY W CHILDREN
18 UNSURE W CHILDREN
99 NA
5700
FAMGEN Label: Number of family generations in household
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 1 GEN
2 2 GENS, CHILDREN
3 2 GENS, PARENTS
4 2 GENS, GRANDCHLDRN
5 3 GENS, GRANDCHLDRN
6 3 GENS, CHLD, PAR
7 4 GENS
8 DK
9 NA
5701
RPLACE Label: R's relationship to household head
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 HEAD OF HOUSEHOLD
2 SPOUSE
3 CHILD
4 SON OR DAUGHTER-IN-LAW
5 GRAND OR GREAT-GRANDCHILD
6 PARENT OR PARENT-IN-LAW
7 OTHER RELATIVE
8 NON-RELATIVE
9 NA
5702
RVISITOR Label: Is R a visitor?
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 R. IS HOUSEHOLD MEMBER
2 R. IS VISITOR
8 DK
9 NA
5703
VISITORS Label: Number of visitoR's in household
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1; 8; 9
Value Label
-1 IAP
0 NO VISITORS
1 1 VISITOR
2 2 VISITORS
3 3 VISITORS
4 4 VISITORS
8 DK
9 NA
5704
RELHH1 Label: Relationship of person 1 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5705
RELHH2 Label: Relationship of person 2 to head of household
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5706
RELHH3 Label: Relationship of person 3 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5707
RELHH4 Label: Relationship of person 4 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5708
RELHH5 Label: Relationship of person 5 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5709
RELHH6 Label: Relationship of person 6 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5710
RELHH7 Label: Relationship of person 7 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5711
RELHH8 Label: Relationship of person 8 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5712
RELHH9 Label: Relationship of person 9 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5713
RELHH10 Label: Relationship of person 10 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5714
RELHH11 Label: Relationship of person 11 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5715
RELHH12 Label: Relationship of person 12 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5716
RELHH13 Label: Relationship of person 13 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5717
RELHH14 Label: Relationship of person 14 to head of household
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HOUSEHOLDER
2 SPOUSE
3 PARTNER,GIRL(BOY)FRIEND
4 CHILD, UNSP
5 GRANDCHILD, GREAT GRANDCHILD
6 SON (DAUGHTER)-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER
14 SIBLING-IN-LAW
15 OTHER RELATIVE
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RLATIVE
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5718
RELSP1 Label: Relationship of person 1 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5719
RELSP2 Label: Relationship of person 2 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5720
RELSP3 Label: Relationship of person 3 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5721
RELSP4 Label: Relationship of person 4 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5722
RELSP5 Label: Relationship of person 5 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5723
RELSP6 Label: Relationship of person 6 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5724
RELSP7 Label: Relationship of person 7 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5725
RELSP8 Label: Relationship of person 8 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5726
RELSP9 Label: Relationship of person 9 to spouse of househol
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5727
RELSP10 Label: Relationship of person 10 to spouse of househo
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5728
RELSP11 Label: Relationship of person 11 to spouse of househo
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5729
RELSP12 Label: Relationship of person 12 to spouse of househo
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5730
RELSP13 Label: Relationship of person 13 to spouse of househo
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5731
RELSP14 Label: Relationship of person 14 to spouse of househo
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 HH SPOUSE, PARTNER
2 SPOUSE
3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC
4 CHILD, NOT SPECIFIED
5 GRANDCHILD, GREAT-GRANDCHILD
6 SON-IN-LAW, DAUGHTER-IN-LAW
7 PARENT
8 PARENT-IN-LAW
9 GRANDPARENT, GREAT-GRANDPARENT
10 UNCLE OR AUNT
11 NIECE OR NEPHEW
12 COUSIN
13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING
14 SIBLING-IN-LAW
15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC)
16 ROOMMATE, HOUSEMATE
17 FRIEND
18 CHILD OF NON-RELATIVE
19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER)
41 BIOLOGICAL CHILD
42 ADOPTED CHILD
43 STEPCHILD
98 DK
99 NA
5732
DATEINTV Label: Date of interview
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9999
Value Label
0 IAP
9999 NA
5733
ISCO68 Label: Respondent's occupation, 1970 census
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998
Value Label
0 IAP
9998 DK
5734
PAISCO68 Label: R's Father's occupation, 1970 census
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998
Value Label
0 IAP
9998 DK
5735
SPISCO68 Label: R's spouse's occupation, 1970 census
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998
Value Label
0 IAP
9998 DK
5736
ISCO681 Label: Respondent's occupation, 1980 census
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998
Value Label
0 IAP
9998 DK
5737
PAISC681 Label: R's Father's occupation, 1980 census
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998
Value Label
0 IAP
9998 DK
5738
MAISC681 Label: R's Mothers occupation, 1980 census
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998
Value Label
0 IAP
9998 DK
5739
SPISC681 Label: R's spouse's occupation, 1980 census
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998
Value Label
0 IAP
9998 DK
5740
ISCO88 Label: Respondent's occupation, 1980 census & 1988 ISCO code
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9997 Uncodeable
9998 DK
9999 NA
5741
PAISCO88 Label: R's Father's occupation, 1980 census & 1988 ISCO code
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9997 Uncodeable
9998 DK
9999 NA
5742
MAISCO88 Label: R's Mothers occupation, 1980 census & 1988 ISCO code
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9997 Uncodeable
9998 DK
9999 NA
5743
SPISCO88 Label: R's spouse's occupation, 1980 census & 1988 ISCO code
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
9997 Uncodeable
9998 DK
9999 NA
5744
ISCO08 Label: Respondent's occupation, 2010 census & 2008 ISCO code
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
110 Commissioned armed forces officers
210 Non-commissioned armed forces officers
310 Armed forces occupations, other ranks
1000 Managers
1100 Chief executives, senior officials and legislators
1110 Legislators and senior officials
1111 Legislators
1112 Senior government officials
1113 Traditional chiefs and heads of village
1114 Senior officials of special-interest organizations
1120 Managing directors and chief executives
1200 Administrative and commercial managers
1210 Business services and administration managers
1211 Finance managers
1212 Human resource managers
1213 Policy and planning managers
1219 Business services and administration managers not elsewhere classified
1220 Sales, marketing and development managers
1221 Sales and marketing managers
1222 Advertising and public relations managers
1223 Research and development managers
1300 Production and specialised services managers
1310 Production managers in agriculture, forestry and fisheries
1311 Agricultural and forestry production managers
1312 Aquaculture and fisheries production managers
1320 Manufacturing, mining, construction, and distribution managers
1321 Manufacturing managers
1322 Mining managers
1323 Construction managers
1324 Supply, distribution and related managers
1330 Information and communications technology service managers
1340 Professional services managers
1341 Child care services managers
1342 Health services managers
1343 Aged care services managers
1344 Social welfare managers
1345 Education managers
1346 Financial and insurance services branch managers
1349 Professional services managers not elsewhere classified
1400 Hospitality, retail and other services managers
1410 Hotel and restaurant managers
1411 Hotel managers
1412 Restaurant managers
1420 Retail and wholesale trade managers
1430 Other services managers
1431 Sports, recreation and cultural centre managers
1439 Services managers not elsewhere classified
2000 Professionals
2100 Science and engineering professionals
2110 Physical and earth science professionals
2111 Physicists and astronomers
2112 Meteorologists
2113 Chemists
2114 Geologists and geophysicists
2120 Mathematicians, actuaries and statisticians
2130 Life science professionals
2131 Biologists, botanists, zoologists and related professionals
2132 Farming, forestry and fisheries advisers
2133 Environmental protection professionals
2140 Engineering professionals (excluding electrotechnology)
2141 Industrial and production engineers
2142 Civil engineers
2143 Environmental engineers
2144 Mechanical engineers
2145 Chemical engineers
2146 Mining engineers, metallurgists and related professionals
2149 Engineering professionals not elsewhere classified
2150 Electrotechnology engineers
2151 Electrical engineers
2152 Electronics engineers
2153 Telecommunications engineers
2160 Architects, planners, surveyors and designers
2161 Building architects
2162 Landscape architects
2163 Product and garment designers
2164 Town and traffic planners
2165 Cartographers and surveyors
2166 Graphic and multimedia designers
2200 Health professionals
2210 Medical doctors
2211 Generalist medical practitioners
2212 Specialist medical practitioners
2220 Nursing and midwifery professionals
2221 Nursing professionals
2222 Midwifery professionals
2230 Traditional and complementary medicine professionals
2240 Paramedical practitioners
2250 Veterinarians
2260 Other health professionals
2261 Dentists
2262 Pharmacists
2263 Environmental and occupational health and hygiene professionals
2264 Physiotherapists
2265 Dieticians and nutritionists
2266 Audiologists and speech therapists
2267 Optometrists and ophthalmic opticians
2269 Health professionals not elsewhere classified
2300 Teaching professionals
2310 University and higher education teachers
2320 Vocational education teachers
2330 Secondary education teachers
2340 Primary school and early childhood teachers
2341 Primary school teachers
2342 Early childhood educators
2350 Other teaching professionals
2351 Education methods specialists
2352 Special needs teachers
2353 Other language teachers
2354 Other music teachers
2355 Other arts teachers
2356 Information technology trainers
2359 Teaching professionals not elsewhere classified
2400 Business and administration professionals
2410 Finance professionals
2411 Accountants
2412 Financial and investment advisers
2413 Financial analysts
2420 Administration professionals
2421 Management and organization analysts
2422 Policy administration professionals
2423 Personnel and careers professionals
2424 Training and staff development professionals
2430 Sales, marketing and public relations professionals
2431 Advertising and marketing professionals
2432 Public relations professionals
2433 Technical and medical sales professionals (excluding ICT)
2434 Information and communications technology sales professionals
2500 Information and communications technology professionals
2510 Software and applications developers and analysts
2511 Systems analysts
2512 Software developers
2513 Web and multimedia developers
2514 Applications programmers
2519 Software and applications developers and analysts not elsewhere classified
2520 Database and network professionals
2521 Database designers and administrators
2522 Systems administrators
2523 Computer network professionals
2529 Database and network professionals not elsewhere classified
2600 Legal, social and cultural professionals
2610 Legal professionals
2611 Lawyers
2612 Judges
2619 Legal professionals not elsewhere classified
2620 Librarians, archivists and curators
2621 Archivists and curators
2622 Librarians and related information professionals
2630 Social and religious professionals
2631 Economists
2632 Sociologists, anthropologists and related professionals
2633 Philosophers, historians and political scientists
2634 Psychologists
2635 Social work and counselling professionals
2636 Religious professionals
2640 Authors, journalists and linguists
2641 Authors and related writers
2642 Journalists
2643 Translators, interpreters and other linguists
2650 Creative and performing artists
2651 Visual artists
2652 Musicians, singers and composers
2653 Dancers and choreographers
2654 Film, stage and related directors and producers
2655 Actors
2656 Announcers on radio, television and other media
2659 Creative and performing artists not elsewhere classified
3000 Technicians and associate professionals
3100 Science and engineering associate professionals
3110 Physical and engineering science technicians
3111 Chemical and physical science technicians
3112 Civil engineering technicians
3113 Electrical engineering technicians
3114 Electronics engineering technicians
3115 Mechanical engineering technicians
3116 Chemical engineering technicians
3117 Mining and metallurgical technicians
3118 Draughtspersons
3119 Physical and engineering science technicians not elsewhere classified
3120 Mining, manufacturing and construction supervisors
3121 Mining supervisors
3122 Manufacturing supervisors
3123 Construction supervisors
3130 Process control technicians
3131 Power production plant operators
3132 Incinerator and water treatment plant operators
3133 Chemical processing plant controllers
3134 Petroleum and natural gas refining plant operators
3135 Metal production process controllers
3139 Process control technicians not elsewhere classified
3140 Life science technicians and related associate professionals
3141 Life science technicians (excluding medical)
3142 Agricultural technicians
3143 Forestry technicians
3150 Ship and aircraft controllers and technicians
3151 Ships' engineers
3152 Ships' deck officers and pilots
3153 Aircraft pilots and related associate professionals
3154 Air traffic controllers
3155 Air traffic safety electronics technicians
3200 Health associate professionals
3210 Medical and pharmaceutical technicians
3211 Medical imaging and therapeutic equipment technicians
3212 Medical and pathology laboratory technicians
3213 Pharmaceutical technicians and assistants
3214 Medical and dental prosthetic technicians
3220 Nursing and midwifery associate professionals
3221 Nursing associate professionals
3222 Midwifery associate professionals
3230 Traditional and complementary medicine associate professionals
3240 Veterinary technicians and assistants
3250 Other health associate professionals
3251 Dental assistants and therapists
3252 Medical records and health information technicians
3253 Community health workers
3254 Dispensing opticians
3255 Physiotherapy technicians and assistants
3256 Medical assistants
3257 Environmental and occupational health inspectors and associates
3258 Ambulance workers
3259 Health associate professionals not elsewhere classified
3300 Business and administration associate professionals
3310 Financial and mathematical associate professionals
3311 Securities and finance dealers and brokers
3312 Credit and loans officers
3313 Accounting associate professionals
3314 Statistical, mathematical and related associate professionals
3315 Valuers and loss assessors
3320 Sales and purchasing agents and brokers
3321 Insurance representatives
3322 Commercial sales representatives
3323 Buyers
3324 Trade brokers
3330 Business services agents
3331 Clearing and forwarding agents
3332 Conference and event planners
3333 Employment agents and contractors
3334 Real estate agents and property managers
3339 Business services agents not elsewhere classified
3340 Administrative and specialised secretaries
3341 Office supervisors
3342 Legal secretaries
3343 Administrative and executive secretaries
3344 Medical secretaries
3350 Regulatory government associate professionals
3351 Customs and border inspectors
3352 Government tax and excise officials
3353 Government social benefits officials
3354 Government licensing officials
3355 Police inspectors and detectives
3359 Regulatory government associate professionals not elsewhere classified
3400 Legal, social, cultural and related associate professionals
3410 Legal, social and religious associate professionals
3411 Police inspectors and detectives
3412 Social work associate professionals
3413 Religious associate professionals
3420 Sports and fitness workers
3421 Athletes and sports players
3422 Sports coaches, instructors and officials
3423 Fitness and recreation instructors and program leaders
3430 Artistic, cultural and culinary associate professionals
3431 Photographers
3432 Interior designers and decorators
3433 Gallery, museum and library technicians
3434 Chefs
3435 Other artistic and cultural associate professionals
3500 Information and communications technicians
3510 Information and communications technology operations and user support technicians
3511 Information and communications technology operations technicians
3512 Information and communications technology user support technicians
3513 Computer network and systems technicians
3514 Web technicians
3520 Telecommunications and broadcasting technicians
3521 Broadcasting and audio-visual technicians
3522 Telecommunications engineering technicians
4000 Clerical support workers
4100 General and keyboard clerks
4110 General office clerks
4120 Secretaries (general)
4130 Keyboard operators
4131 Typists and word processing operators
4132 Data entry clerks
4200 Customer services clerks
4210 Tellers, money collectors and related clerks
4211 Bank tellers and related clerks
4212 Bookmakers, croupiers and related gaming workers
4213 Pawnbrokers and money-lenders
4214 Debt-collectors and related workers
4220 Client information workers
4221 Travel consultants and clerks
4222 Contact centre information clerks
4223 Telephone switchboard operators
4224 Hotel receptionists
4225 Enquiry clerks
4226 Receptionists (general)
4227 Survey and market research interviewers
4229 Client information workers not elsewhere classified
4300 Numerical and material recording clerks
4310 Numerical clerks
4311 Accounting and bookkeeping clerks
4312 Statistical, finance and insurance clerks
4313 Payroll clerks
4320 Material-recording and transport clerks
4321 Stock clerks
4322 Production clerks
4323 Transport clerks
4400 Other clerical support workers
4410 Other clerical support workers
4411 Library clerks
4412 Mail carriers and sorting clerks
4413 Coding, proof-reading and related clerks
4414 Scribes and related workers
4415 Filing and copying clerks
4416 Personnel clerks
4419 Clerical support workers not elsewhere classified
5000 Service and sales workers
5100 Personal service workers
5110 Travel attendants, conductors and guides
5111 Travel attendants and travel stewards
5112 Transport conductors
5113 Travel guides
5120 Cooks
5130 Waiters and bartenders
5131 Waiters
5132 Bartenders
5140 Hairdressers, beauticians and related workers
5141 Hairdressers
5142 Beauticians and related workers
5150 Building and housekeeping supervisors
5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments
5152 Domestic housekeepers
5153 Building caretakers
5160 Other personal services workers
5161 Astrologers, fortune-tellers and related workers
5162 Companions and valets
5163 Undertakers and embalmers
5164 Pet groomers and animal care workers
5165 Driving instructors
5169 Personal services workers not elsewhere classified
5200 Sales workers
5210 Street and market salespersons
5211 Stall and market salespersons
5212 Street food salespersons
5220 Shop salespersons
5221 Shop keepers
5222 Shop supervisors
5223 Shop sales assistants
5230 Cashiers and ticket clerks
5240 Other sales workers
5241 Fashion and other models
5242 Sales demonstrators
5243 Door to door salespersons
5244 Contact centre salespersons
5245 Service station attendants
5246 Food service counter attendants
5249 Sales workers not elsewhere classified
5300 Personal care workers
5310 Child care workers and teachers' aides
5311 Child care workers
5312 Teachers' aides
5320 Personal care workers in health services
5321 Health care assistants
5322 Home-based personal care workers
5329 Personal care workers in health services not elsewhere classified
5400 Protective services workers
5410 Protective services workers
5411 Fire-fighters
5412 Police officers
5413 Prison guards
5414 Security guards
5419 Protective services workers not elsewhere classified
6000 Skilled agricultural, forestry and fishery workers
6100 Market-oriented skilled agricultural workers
6110 Market gardeners and crop growers
6111 Field crop and vegetable growers
6112 Tree and shrub crop growers
6113 Gardeners, horticultural and nursery growers
6114 Mixed crop growers
6120 Animal producers
6121 Livestock and dairy producers
6122 Poultry producers
6123 Apiarists and sericulturists
6129 Animal producers not elsewhere classified
6130 Mixed crop and animal producers
6200 Market-oriented skilled forestry, fishery and hunting workers
6210 Forestry and related workers
6220 Fishery workers, hunters and trappers
6221 Aquaculture workers
6222 Inland and coastal waters fishery workers
6223 Deep-sea fishery workers
6224 Hunters and trappers
6300 Subsistence farmers, fishers, hunters and gatherers
6310 Subsistence crop farmers
6320 Subsistence livestock farmers
6330 Subsistence mixed crop and livestock farmers
6340 Subsistence fishers, hunters, trappers and gatherers
7000 Craft and related trades workers
7100 Building and related trades workers, excluding electricians
7110 Building frame and related trades workers
7111 House builders
7112 Bricklayers and related workers
7113 Stonemasons, stone cutters, splitters and carvers
7114 Concrete placers, concrete finishers and related workers
7115 Carpenters and joiners
7119 Building frame and related trades workers not elsewhere classified
7120 Building finishers and related trades workers
7121 Roofers
7122 Floor layers and tile setters
7123 Plasterers
7124 Insulation workers
7125 Glaziers
7126 Plumbers and pipe fitters
7127 Air conditioning and refrigeration mechanics
7130 Painters, building structure cleaners and related trades workers
7131 Painters and related workers
7132 Spray painters and varnishers
7133 Building structure cleaners
7200 Metal, machinery and related trades workers
7210 Sheet and structural metal workers, moulders and welders, and related workers
7211 Metal moulders and coremakers
7212 Welders and flamecutters
7213 Sheet-metal workers
7214 Structural-metal preparers and erectors
7215 Riggers and cable splicers
7220 Blacksmiths, toolmakers and related trades workers
7221 Blacksmiths, hammersmiths and forging press workers
7222 Toolmakers and related workers
7223 Metal working machine tool setters and operators
7224 Metal polishers, wheel grinders and tool sharpeners
7230 Machinery mechanics and repairers
7231 Motor vehicle mechanics and repairers
7232 Aircraft engine mechanics and repairers
7233 Agricultural and industrial machinery mechanics and repairers
7234 Bicycle and related repairers
7300 Handicraft and printing workers
7310 Handicraft workers
7311 Precision-instrument makers and repairers
7312 Musical instrument makers and tuners
7313 Jewellery and precious-metal workers
7314 Potters and related workers
7315 Glass makers, cutters, grinders and finishers
7316 Sign writers, decorative painters, engravers and etchers
7317 Handicraft workers in wood, basketry and related materials
7318 Handicraft workers in textile, leather and related materials
7319 Handicraft workers not elsewhere classified
7320 Printing trades workers
7321 Pre-press technicians
7322 Printers
7323 Print finishing and binding workers
7400 Electrical and electronic trades workers
7410 Electrical equipment installers and repairers
7411 Building and related electricians
7412 Electrical mechanics and fitters
7413 Electrical line installers and repairers
7420 Electronics and telecommunications installers and repairers
7421 Electronics mechanics and servicers
7422 Information and communications technology installers and servicers
7500 Food processing, wood working, garment and other craft and related trades workers
7510 Food processing and related trades workers
7511 Butchers, fishmongers and related food preparers
7512 Bakers, pastry-cooks and confectionery makers
7513 Dairy-products makers
7514 Fruit, vegetable and related preservers
7515 Food and beverage tasters and graders
7516 Tobacco preparers and tobacco products makers
7520 Wood treaters, cabinet-makers and related trades workers
7521 Wood treaters
7522 Cabinet-makers and related workers
7523 Woodworking-machine tool setters and operators
7530 Garment and related trades workers
7531 Tailors, dressmakers, furriers and hatters
7532 Garment and related pattern-makers and cutters
7533 Sewing, embroidery and related workers
7534 Upholsterers and related workers
7535 Pelt dressers, tanners and fellmongers
7536 Shoemakers and related workers
7540 Other craft and related workers
7541 Underwater divers
7542 Shotfirers and blasters
7543 Product graders and testers (excluding foods and beverages)
7544 Fumigators and other pest and weed controllers
7549 Craft and related workers not elsewhere classified
8000 Plant and machine operators, and assemblers
8100 Stationary plant and machine operators
8110 Mining and mineral processing plant operators
8111 Miners and quarriers
8112 Mineral and stone processing plant operators
8113 Well drillers and borers and related workers
8114 Cement, stone and other mineral products machine operators
8120 Metal processing and finishing plant operators
8121 Metal processing plant operators
8122 Metal finishing, plating and coating machine operators
8130 Chemical and photographic products plant and machine operators
8131 Chemical products plant and machine operators
8132 Photographic products machine operators
8140 Rubber, plastic and paper products machine operators
8141 Rubber products machine operators
8142 Plastic products machine operators
8143 Paper products machine operators
8150 Textile, fur and leather products machine operators
8151 Fibre preparing, spinning and winding machine operators
8152 Weaving and knitting machine operators
8153 Sewing machine operators
8154 Bleaching, dyeing and fabric cleaning machine operators
8155 Fur and leather preparing machine operators
8156 Shoemaking and related machine operators
8157 Laundry machine operators
8159 Textile, fur and leather products machine operators not elsewhere classified
8160 Food and related products machine operators
8170 Wood processing and papermaking plant operators
8171 Pulp and papermaking plant operators
8172 Wood processing plant operators
8180 Other stationary plant and machine operators
8181 Glass and ceramics plant operators
8182 Steam engine and boiler operators
8183 Packing, bottling and labelling machine operators
8189 Stationary plant and machine operators not elsewhere classified
8200 Assemblers
8210 Assemblers
8211 Mechanical machinery assemblers
8212 Electrical and electronic equipment assemblers
8219 Assemblers not elsewhere classified
8300 Drivers and mobile plant operators
8310 Locomotive engine drivers and related workers
8311 Locomotive engine drivers
8312 Railway brake, signal and switch operators
8320 Car, van and motorcycle drivers
8321 Motorcycle drivers
8322 Car, taxi and van drivers
8330 Heavy truck and bus drivers
8331 Bus and tram drivers
8332 Heavy truck and lorry drivers
8340 Mobile plant operators
8341 Mobile farm and forestry plant operators
8342 Earthmoving and related plant operators
8343 Crane, hoist and related plant operators
8344 Lifting truck operators
8350 Ships' deck crews and related workers
9000 Elementary occupations
9100 Cleaners and helpers
9110 Domestic, hotel and office cleaners and helpers
9111 Domestic cleaners and helpers
9112 Cleaners and helpers in offices, hotels and other establishments
9120 Vehicle, window, laundry and other hand cleaning workers
9121 Hand launderers and pressers
9122 Vehicle cleaners
9123 Window cleaners
9129 Other cleaning workers
9200 Agricultural, forestry and fishery labourers
9210 Agricultural, forestry and fishery labourers
9211 Crop farm labourers
9212 Livestock farm labourers
9213 Mixed crop and livestock farm labourers
9214 Garden and horticultural labourers
9215 Forestry labourers
9216 Fishery and aquaculture labourers
9300 Labourers in mining, construction, manufacturing and transport
9310 Mining and construction labourers
9311 Mining and quarrying labourers
9312 Civil engineering labourers
9313 Building construction labourers
9320 Manufacturing labourers
9321 Hand packers
9329 Manufacturing labourers not elsewhere classified
9330 Transport and storage labourers
9331 Hand and pedal vehicle drivers
9332 Drivers of animal-drawn vehicles and machinery
9333 Freight handlers
9334 Shelf fillers
9400 Food preparation assistants
9410 Food preparation assistants
9411 Fast food preparers
9412 Kitchen helpers
9500 Street and related sales and service workers
9510 Street and related service workers
9520 Street vendors (excluding food)
9600 Refuse workers and other elementary workers
9610 Refuse workers
9611 Garbage and recycling collectors
9612 Refuse sorters
9613 Sweepers and related labourers
9620 Other elementary workers
9621 Messengers, package deliverers and luggage porters
9622 Odd job persons
9623 Meter readers and vending-machine collectors
9624 Water and firewood collectors
9629 Elementary workers not elsewhere classified
9997 Uncodeable
9998 Don't know, inadequately described
9999 No answer
5745
PAISCO08 Label: R's Father's occupation, 2010 census & 2008 ISCO code
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
110 Commissioned armed forces officers
210 Non-commissioned armed forces officers
310 Armed forces occupations, other ranks
1000 Managers
1100 Chief executives, senior officials and legislators
1110 Legislators and senior officials
1111 Legislators
1112 Senior government officials
1113 Traditional chiefs and heads of village
1114 Senior officials of special-interest organizations
1120 Managing directors and chief executives
1200 Administrative and commercial managers
1210 Business services and administration managers
1211 Finance managers
1212 Human resource managers
1213 Policy and planning managers
1219 Business services and administration managers not elsewhere classified
1220 Sales, marketing and development managers
1221 Sales and marketing managers
1222 Advertising and public relations managers
1223 Research and development managers
1300 Production and specialised services managers
1310 Production managers in agriculture, forestry and fisheries
1311 Agricultural and forestry production managers
1312 Aquaculture and fisheries production managers
1320 Manufacturing, mining, construction, and distribution managers
1321 Manufacturing managers
1322 Mining managers
1323 Construction managers
1324 Supply, distribution and related managers
1330 Information and communications technology service managers
1340 Professional services managers
1341 Child care services managers
1342 Health services managers
1343 Aged care services managers
1344 Social welfare managers
1345 Education managers
1346 Financial and insurance services branch managers
1349 Professional services managers not elsewhere classified
1400 Hospitality, retail and other services managers
1410 Hotel and restaurant managers
1411 Hotel managers
1412 Restaurant managers
1420 Retail and wholesale trade managers
1430 Other services managers
1431 Sports, recreation and cultural centre managers
1439 Services managers not elsewhere classified
2000 Professionals
2100 Science and engineering professionals
2110 Physical and earth science professionals
2111 Physicists and astronomers
2112 Meteorologists
2113 Chemists
2114 Geologists and geophysicists
2120 Mathematicians, actuaries and statisticians
2130 Life science professionals
2131 Biologists, botanists, zoologists and related professionals
2132 Farming, forestry and fisheries advisers
2133 Environmental protection professionals
2140 Engineering professionals (excluding electrotechnology)
2141 Industrial and production engineers
2142 Civil engineers
2143 Environmental engineers
2144 Mechanical engineers
2145 Chemical engineers
2146 Mining engineers, metallurgists and related professionals
2149 Engineering professionals not elsewhere classified
2150 Electrotechnology engineers
2151 Electrical engineers
2152 Electronics engineers
2153 Telecommunications engineers
2160 Architects, planners, surveyors and designers
2161 Building architects
2162 Landscape architects
2163 Product and garment designers
2164 Town and traffic planners
2165 Cartographers and surveyors
2166 Graphic and multimedia designers
2200 Health professionals
2210 Medical doctors
2211 Generalist medical practitioners
2212 Specialist medical practitioners
2220 Nursing and midwifery professionals
2221 Nursing professionals
2222 Midwifery professionals
2230 Traditional and complementary medicine professionals
2240 Paramedical practitioners
2250 Veterinarians
2260 Other health professionals
2261 Dentists
2262 Pharmacists
2263 Environmental and occupational health and hygiene professionals
2264 Physiotherapists
2265 Dieticians and nutritionists
2266 Audiologists and speech therapists
2267 Optometrists and ophthalmic opticians
2269 Health professionals not elsewhere classified
2300 Teaching professionals
2310 University and higher education teachers
2320 Vocational education teachers
2330 Secondary education teachers
2340 Primary school and early childhood teachers
2341 Primary school teachers
2342 Early childhood educators
2350 Other teaching professionals
2351 Education methods specialists
2352 Special needs teachers
2353 Other language teachers
2354 Other music teachers
2355 Other arts teachers
2356 Information technology trainers
2359 Teaching professionals not elsewhere classified
2400 Business and administration professionals
2410 Finance professionals
2411 Accountants
2412 Financial and investment advisers
2413 Financial analysts
2420 Administration professionals
2421 Management and organization analysts
2422 Policy administration professionals
2423 Personnel and careers professionals
2424 Training and staff development professionals
2430 Sales, marketing and public relations professionals
2431 Advertising and marketing professionals
2432 Public relations professionals
2433 Technical and medical sales professionals (excluding ICT)
2434 Information and communications technology sales professionals
2500 Information and communications technology professionals
2510 Software and applications developers and analysts
2511 Systems analysts
2512 Software developers
2513 Web and multimedia developers
2514 Applications programmers
2519 Software and applications developers and analysts not elsewhere classified
2520 Database and network professionals
2521 Database designers and administrators
2522 Systems administrators
2523 Computer network professionals
2529 Database and network professionals not elsewhere classified
2600 Legal, social and cultural professionals
2610 Legal professionals
2611 Lawyers
2612 Judges
2619 Legal professionals not elsewhere classified
2620 Librarians, archivists and curators
2621 Archivists and curators
2622 Librarians and related information professionals
2630 Social and religious professionals
2631 Economists
2632 Sociologists, anthropologists and related professionals
2633 Philosophers, historians and political scientists
2634 Psychologists
2635 Social work and counselling professionals
2636 Religious professionals
2640 Authors, journalists and linguists
2641 Authors and related writers
2642 Journalists
2643 Translators, interpreters and other linguists
2650 Creative and performing artists
2651 Visual artists
2652 Musicians, singers and composers
2653 Dancers and choreographers
2654 Film, stage and related directors and producers
2655 Actors
2656 Announcers on radio, television and other media
2659 Creative and performing artists not elsewhere classified
3000 Technicians and associate professionals
3100 Science and engineering associate professionals
3110 Physical and engineering science technicians
3111 Chemical and physical science technicians
3112 Civil engineering technicians
3113 Electrical engineering technicians
3114 Electronics engineering technicians
3115 Mechanical engineering technicians
3116 Chemical engineering technicians
3117 Mining and metallurgical technicians
3118 Draughtspersons
3119 Physical and engineering science technicians not elsewhere classified
3120 Mining, manufacturing and construction supervisors
3121 Mining supervisors
3122 Manufacturing supervisors
3123 Construction supervisors
3130 Process control technicians
3131 Power production plant operators
3132 Incinerator and water treatment plant operators
3133 Chemical processing plant controllers
3134 Petroleum and natural gas refining plant operators
3135 Metal production process controllers
3139 Process control technicians not elsewhere classified
3140 Life science technicians and related associate professionals
3141 Life science technicians (excluding medical)
3142 Agricultural technicians
3143 Forestry technicians
3150 Ship and aircraft controllers and technicians
3151 Ships' engineers
3152 Ships' deck officers and pilots
3153 Aircraft pilots and related associate professionals
3154 Air traffic controllers
3155 Air traffic safety electronics technicians
3200 Health associate professionals
3210 Medical and pharmaceutical technicians
3211 Medical imaging and therapeutic equipment technicians
3212 Medical and pathology laboratory technicians
3213 Pharmaceutical technicians and assistants
3214 Medical and dental prosthetic technicians
3220 Nursing and midwifery associate professionals
3221 Nursing associate professionals
3222 Midwifery associate professionals
3230 Traditional and complementary medicine associate professionals
3240 Veterinary technicians and assistants
3250 Other health associate professionals
3251 Dental assistants and therapists
3252 Medical records and health information technicians
3253 Community health workers
3254 Dispensing opticians
3255 Physiotherapy technicians and assistants
3256 Medical assistants
3257 Environmental and occupational health inspectors and associates
3258 Ambulance workers
3259 Health associate professionals not elsewhere classified
3300 Business and administration associate professionals
3310 Financial and mathematical associate professionals
3311 Securities and finance dealers and brokers
3312 Credit and loans officers
3313 Accounting associate professionals
3314 Statistical, mathematical and related associate professionals
3315 Valuers and loss assessors
3320 Sales and purchasing agents and brokers
3321 Insurance representatives
3322 Commercial sales representatives
3323 Buyers
3324 Trade brokers
3330 Business services agents
3331 Clearing and forwarding agents
3332 Conference and event planners
3333 Employment agents and contractors
3334 Real estate agents and property managers
3339 Business services agents not elsewhere classified
3340 Administrative and specialised secretaries
3341 Office supervisors
3342 Legal secretaries
3343 Administrative and executive secretaries
3344 Medical secretaries
3350 Regulatory government associate professionals
3351 Customs and border inspectors
3352 Government tax and excise officials
3353 Government social benefits officials
3354 Government licensing officials
3355 Police inspectors and detectives
3359 Regulatory government associate professionals not elsewhere classified
3400 Legal, social, cultural and related associate professionals
3410 Legal, social and religious associate professionals
3411 Police inspectors and detectives
3412 Social work associate professionals
3413 Religious associate professionals
3420 Sports and fitness workers
3421 Athletes and sports players
3422 Sports coaches, instructors and officials
3423 Fitness and recreation instructors and program leaders
3430 Artistic, cultural and culinary associate professionals
3431 Photographers
3432 Interior designers and decorators
3433 Gallery, museum and library technicians
3434 Chefs
3435 Other artistic and cultural associate professionals
3500 Information and communications technicians
3510 Information and communications technology operations and user support technicians
3511 Information and communications technology operations technicians
3512 Information and communications technology user support technicians
3513 Computer network and systems technicians
3514 Web technicians
3520 Telecommunications and broadcasting technicians
3521 Broadcasting and audio-visual technicians
3522 Telecommunications engineering technicians
4000 Clerical support workers
4100 General and keyboard clerks
4110 General office clerks
4120 Secretaries (general)
4130 Keyboard operators
4131 Typists and word processing operators
4132 Data entry clerks
4200 Customer services clerks
4210 Tellers, money collectors and related clerks
4211 Bank tellers and related clerks
4212 Bookmakers, croupiers and related gaming workers
4213 Pawnbrokers and money-lenders
4214 Debt-collectors and related workers
4220 Client information workers
4221 Travel consultants and clerks
4222 Contact centre information clerks
4223 Telephone switchboard operators
4224 Hotel receptionists
4225 Enquiry clerks
4226 Receptionists (general)
4227 Survey and market research interviewers
4229 Client information workers not elsewhere classified
4300 Numerical and material recording clerks
4310 Numerical clerks
4311 Accounting and bookkeeping clerks
4312 Statistical, finance and insurance clerks
4313 Payroll clerks
4320 Material-recording and transport clerks
4321 Stock clerks
4322 Production clerks
4323 Transport clerks
4400 Other clerical support workers
4410 Other clerical support workers
4411 Library clerks
4412 Mail carriers and sorting clerks
4413 Coding, proof-reading and related clerks
4414 Scribes and related workers
4415 Filing and copying clerks
4416 Personnel clerks
4419 Clerical support workers not elsewhere classified
5000 Service and sales workers
5100 Personal service workers
5110 Travel attendants, conductors and guides
5111 Travel attendants and travel stewards
5112 Transport conductors
5113 Travel guides
5120 Cooks
5130 Waiters and bartenders
5131 Waiters
5132 Bartenders
5140 Hairdressers, beauticians and related workers
5141 Hairdressers
5142 Beauticians and related workers
5150 Building and housekeeping supervisors
5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments
5152 Domestic housekeepers
5153 Building caretakers
5160 Other personal services workers
5161 Astrologers, fortune-tellers and related workers
5162 Companions and valets
5163 Undertakers and embalmers
5164 Pet groomers and animal care workers
5165 Driving instructors
5169 Personal services workers not elsewhere classified
5200 Sales workers
5210 Street and market salespersons
5211 Stall and market salespersons
5212 Street food salespersons
5220 Shop salespersons
5221 Shop keepers
5222 Shop supervisors
5223 Shop sales assistants
5230 Cashiers and ticket clerks
5240 Other sales workers
5241 Fashion and other models
5242 Sales demonstrators
5243 Door to door salespersons
5244 Contact centre salespersons
5245 Service station attendants
5246 Food service counter attendants
5249 Sales workers not elsewhere classified
5300 Personal care workers
5310 Child care workers and teachers' aides
5311 Child care workers
5312 Teachers' aides
5320 Personal care workers in health services
5321 Health care assistants
5322 Home-based personal care workers
5329 Personal care workers in health services not elsewhere classified
5400 Protective services workers
5410 Protective services workers
5411 Fire-fighters
5412 Police officers
5413 Prison guards
5414 Security guards
5419 Protective services workers not elsewhere classified
6000 Skilled agricultural, forestry and fishery workers
6100 Market-oriented skilled agricultural workers
6110 Market gardeners and crop growers
6111 Field crop and vegetable growers
6112 Tree and shrub crop growers
6113 Gardeners, horticultural and nursery growers
6114 Mixed crop growers
6120 Animal producers
6121 Livestock and dairy producers
6122 Poultry producers
6123 Apiarists and sericulturists
6129 Animal producers not elsewhere classified
6130 Mixed crop and animal producers
6200 Market-oriented skilled forestry, fishery and hunting workers
6210 Forestry and related workers
6220 Fishery workers, hunters and trappers
6221 Aquaculture workers
6222 Inland and coastal waters fishery workers
6223 Deep-sea fishery workers
6224 Hunters and trappers
6300 Subsistence farmers, fishers, hunters and gatherers
6310 Subsistence crop farmers
6320 Subsistence livestock farmers
6330 Subsistence mixed crop and livestock farmers
6340 Subsistence fishers, hunters, trappers and gatherers
7000 Craft and related trades workers
7100 Building and related trades workers, excluding electricians
7110 Building frame and related trades workers
7111 House builders
7112 Bricklayers and related workers
7113 Stonemasons, stone cutters, splitters and carvers
7114 Concrete placers, concrete finishers and related workers
7115 Carpenters and joiners
7119 Building frame and related trades workers not elsewhere classified
7120 Building finishers and related trades workers
7121 Roofers
7122 Floor layers and tile setters
7123 Plasterers
7124 Insulation workers
7125 Glaziers
7126 Plumbers and pipe fitters
7127 Air conditioning and refrigeration mechanics
7130 Painters, building structure cleaners and related trades workers
7131 Painters and related workers
7132 Spray painters and varnishers
7133 Building structure cleaners
7200 Metal, machinery and related trades workers
7210 Sheet and structural metal workers, moulders and welders, and related workers
7211 Metal moulders and coremakers
7212 Welders and flamecutters
7213 Sheet-metal workers
7214 Structural-metal preparers and erectors
7215 Riggers and cable splicers
7220 Blacksmiths, toolmakers and related trades workers
7221 Blacksmiths, hammersmiths and forging press workers
7222 Toolmakers and related workers
7223 Metal working machine tool setters and operators
7224 Metal polishers, wheel grinders and tool sharpeners
7230 Machinery mechanics and repairers
7231 Motor vehicle mechanics and repairers
7232 Aircraft engine mechanics and repairers
7233 Agricultural and industrial machinery mechanics and repairers
7234 Bicycle and related repairers
7300 Handicraft and printing workers
7310 Handicraft workers
7311 Precision-instrument makers and repairers
7312 Musical instrument makers and tuners
7313 Jewellery and precious-metal workers
7314 Potters and related workers
7315 Glass makers, cutters, grinders and finishers
7316 Sign writers, decorative painters, engravers and etchers
7317 Handicraft workers in wood, basketry and related materials
7318 Handicraft workers in textile, leather and related materials
7319 Handicraft workers not elsewhere classified
7320 Printing trades workers
7321 Pre-press technicians
7322 Printers
7323 Print finishing and binding workers
7400 Electrical and electronic trades workers
7410 Electrical equipment installers and repairers
7411 Building and related electricians
7412 Electrical mechanics and fitters
7413 Electrical line installers and repairers
7420 Electronics and telecommunications installers and repairers
7421 Electronics mechanics and servicers
7422 Information and communications technology installers and servicers
7500 Food processing, wood working, garment and other craft and related trades workers
7510 Food processing and related trades workers
7511 Butchers, fishmongers and related food preparers
7512 Bakers, pastry-cooks and confectionery makers
7513 Dairy-products makers
7514 Fruit, vegetable and related preservers
7515 Food and beverage tasters and graders
7516 Tobacco preparers and tobacco products makers
7520 Wood treaters, cabinet-makers and related trades workers
7521 Wood treaters
7522 Cabinet-makers and related workers
7523 Woodworking-machine tool setters and operators
7530 Garment and related trades workers
7531 Tailors, dressmakers, furriers and hatters
7532 Garment and related pattern-makers and cutters
7533 Sewing, embroidery and related workers
7534 Upholsterers and related workers
7535 Pelt dressers, tanners and fellmongers
7536 Shoemakers and related workers
7540 Other craft and related workers
7541 Underwater divers
7542 Shotfirers and blasters
7543 Product graders and testers (excluding foods and beverages)
7544 Fumigators and other pest and weed controllers
7549 Craft and related workers not elsewhere classified
8000 Plant and machine operators, and assemblers
8100 Stationary plant and machine operators
8110 Mining and mineral processing plant operators
8111 Miners and quarriers
8112 Mineral and stone processing plant operators
8113 Well drillers and borers and related workers
8114 Cement, stone and other mineral products machine operators
8120 Metal processing and finishing plant operators
8121 Metal processing plant operators
8122 Metal finishing, plating and coating machine operators
8130 Chemical and photographic products plant and machine operators
8131 Chemical products plant and machine operators
8132 Photographic products machine operators
8140 Rubber, plastic and paper products machine operators
8141 Rubber products machine operators
8142 Plastic products machine operators
8143 Paper products machine operators
8150 Textile, fur and leather products machine operators
8151 Fibre preparing, spinning and winding machine operators
8152 Weaving and knitting machine operators
8153 Sewing machine operators
8154 Bleaching, dyeing and fabric cleaning machine operators
8155 Fur and leather preparing machine operators
8156 Shoemaking and related machine operators
8157 Laundry machine operators
8159 Textile, fur and leather products machine operators not elsewhere classified
8160 Food and related products machine operators
8170 Wood processing and papermaking plant operators
8171 Pulp and papermaking plant operators
8172 Wood processing plant operators
8180 Other stationary plant and machine operators
8181 Glass and ceramics plant operators
8182 Steam engine and boiler operators
8183 Packing, bottling and labelling machine operators
8189 Stationary plant and machine operators not elsewhere classified
8200 Assemblers
8210 Assemblers
8211 Mechanical machinery assemblers
8212 Electrical and electronic equipment assemblers
8219 Assemblers not elsewhere classified
8300 Drivers and mobile plant operators
8310 Locomotive engine drivers and related workers
8311 Locomotive engine drivers
8312 Railway brake, signal and switch operators
8320 Car, van and motorcycle drivers
8321 Motorcycle drivers
8322 Car, taxi and van drivers
8330 Heavy truck and bus drivers
8331 Bus and tram drivers
8332 Heavy truck and lorry drivers
8340 Mobile plant operators
8341 Mobile farm and forestry plant operators
8342 Earthmoving and related plant operators
8343 Crane, hoist and related plant operators
8344 Lifting truck operators
8350 Ships' deck crews and related workers
9000 Elementary occupations
9100 Cleaners and helpers
9110 Domestic, hotel and office cleaners and helpers
9111 Domestic cleaners and helpers
9112 Cleaners and helpers in offices, hotels and other establishments
9120 Vehicle, window, laundry and other hand cleaning workers
9121 Hand launderers and pressers
9122 Vehicle cleaners
9123 Window cleaners
9129 Other cleaning workers
9200 Agricultural, forestry and fishery labourers
9210 Agricultural, forestry and fishery labourers
9211 Crop farm labourers
9212 Livestock farm labourers
9213 Mixed crop and livestock farm labourers
9214 Garden and horticultural labourers
9215 Forestry labourers
9216 Fishery and aquaculture labourers
9300 Labourers in mining, construction, manufacturing and transport
9310 Mining and construction labourers
9311 Mining and quarrying labourers
9312 Civil engineering labourers
9313 Building construction labourers
9320 Manufacturing labourers
9321 Hand packers
9329 Manufacturing labourers not elsewhere classified
9330 Transport and storage labourers
9331 Hand and pedal vehicle drivers
9332 Drivers of animal-drawn vehicles and machinery
9333 Freight handlers
9334 Shelf fillers
9400 Food preparation assistants
9410 Food preparation assistants
9411 Fast food preparers
9412 Kitchen helpers
9500 Street and related sales and service workers
9510 Street and related service workers
9520 Street vendors (excluding food)
9600 Refuse workers and other elementary workers
9610 Refuse workers
9611 Garbage and recycling collectors
9612 Refuse sorters
9613 Sweepers and related labourers
9620 Other elementary workers
9621 Messengers, package deliverers and luggage porters
9622 Odd job persons
9623 Meter readers and vending-machine collectors
9624 Water and firewood collectors
9629 Elementary workers not elsewhere classified
9997 Uncodeable
9998 Don't know, inadequately described
9999 No answer
5746
MAISCO08 Label: R's spouse's occupation, 2010 census & 2008 ISCO code
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
110 Commissioned armed forces officers
210 Non-commissioned armed forces officers
310 Armed forces occupations, other ranks
1000 Managers
1100 Chief executives, senior officials and legislators
1110 Legislators and senior officials
1111 Legislators
1112 Senior government officials
1113 Traditional chiefs and heads of village
1114 Senior officials of special-interest organizations
1120 Managing directors and chief executives
1200 Administrative and commercial managers
1210 Business services and administration managers
1211 Finance managers
1212 Human resource managers
1213 Policy and planning managers
1219 Business services and administration managers not elsewhere classified
1220 Sales, marketing and development managers
1221 Sales and marketing managers
1222 Advertising and public relations managers
1223 Research and development managers
1300 Production and specialised services managers
1310 Production managers in agriculture, forestry and fisheries
1311 Agricultural and forestry production managers
1312 Aquaculture and fisheries production managers
1320 Manufacturing, mining, construction, and distribution managers
1321 Manufacturing managers
1322 Mining managers
1323 Construction managers
1324 Supply, distribution and related managers
1330 Information and communications technology service managers
1340 Professional services managers
1341 Child care services managers
1342 Health services managers
1343 Aged care services managers
1344 Social welfare managers
1345 Education managers
1346 Financial and insurance services branch managers
1349 Professional services managers not elsewhere classified
1400 Hospitality, retail and other services managers
1410 Hotel and restaurant managers
1411 Hotel managers
1412 Restaurant managers
1420 Retail and wholesale trade managers
1430 Other services managers
1431 Sports, recreation and cultural centre managers
1439 Services managers not elsewhere classified
2000 Professionals
2100 Science and engineering professionals
2110 Physical and earth science professionals
2111 Physicists and astronomers
2112 Meteorologists
2113 Chemists
2114 Geologists and geophysicists
2120 Mathematicians, actuaries and statisticians
2130 Life science professionals
2131 Biologists, botanists, zoologists and related professionals
2132 Farming, forestry and fisheries advisers
2133 Environmental protection professionals
2140 Engineering professionals (excluding electrotechnology)
2141 Industrial and production engineers
2142 Civil engineers
2143 Environmental engineers
2144 Mechanical engineers
2145 Chemical engineers
2146 Mining engineers, metallurgists and related professionals
2149 Engineering professionals not elsewhere classified
2150 Electrotechnology engineers
2151 Electrical engineers
2152 Electronics engineers
2153 Telecommunications engineers
2160 Architects, planners, surveyors and designers
2161 Building architects
2162 Landscape architects
2163 Product and garment designers
2164 Town and traffic planners
2165 Cartographers and surveyors
2166 Graphic and multimedia designers
2200 Health professionals
2210 Medical doctors
2211 Generalist medical practitioners
2212 Specialist medical practitioners
2220 Nursing and midwifery professionals
2221 Nursing professionals
2222 Midwifery professionals
2230 Traditional and complementary medicine professionals
2240 Paramedical practitioners
2250 Veterinarians
2260 Other health professionals
2261 Dentists
2262 Pharmacists
2263 Environmental and occupational health and hygiene professionals
2264 Physiotherapists
2265 Dieticians and nutritionists
2266 Audiologists and speech therapists
2267 Optometrists and ophthalmic opticians
2269 Health professionals not elsewhere classified
2300 Teaching professionals
2310 University and higher education teachers
2320 Vocational education teachers
2330 Secondary education teachers
2340 Primary school and early childhood teachers
2341 Primary school teachers
2342 Early childhood educators
2350 Other teaching professionals
2351 Education methods specialists
2352 Special needs teachers
2353 Other language teachers
2354 Other music teachers
2355 Other arts teachers
2356 Information technology trainers
2359 Teaching professionals not elsewhere classified
2400 Business and administration professionals
2410 Finance professionals
2411 Accountants
2412 Financial and investment advisers
2413 Financial analysts
2420 Administration professionals
2421 Management and organization analysts
2422 Policy administration professionals
2423 Personnel and careers professionals
2424 Training and staff development professionals
2430 Sales, marketing and public relations professionals
2431 Advertising and marketing professionals
2432 Public relations professionals
2433 Technical and medical sales professionals (excluding ICT)
2434 Information and communications technology sales professionals
2500 Information and communications technology professionals
2510 Software and applications developers and analysts
2511 Systems analysts
2512 Software developers
2513 Web and multimedia developers
2514 Applications programmers
2519 Software and applications developers and analysts not elsewhere classified
2520 Database and network professionals
2521 Database designers and administrators
2522 Systems administrators
2523 Computer network professionals
2529 Database and network professionals not elsewhere classified
2600 Legal, social and cultural professionals
2610 Legal professionals
2611 Lawyers
2612 Judges
2619 Legal professionals not elsewhere classified
2620 Librarians, archivists and curators
2621 Archivists and curators
2622 Librarians and related information professionals
2630 Social and religious professionals
2631 Economists
2632 Sociologists, anthropologists and related professionals
2633 Philosophers, historians and political scientists
2634 Psychologists
2635 Social work and counselling professionals
2636 Religious professionals
2640 Authors, journalists and linguists
2641 Authors and related writers
2642 Journalists
2643 Translators, interpreters and other linguists
2650 Creative and performing artists
2651 Visual artists
2652 Musicians, singers and composers
2653 Dancers and choreographers
2654 Film, stage and related directors and producers
2655 Actors
2656 Announcers on radio, television and other media
2659 Creative and performing artists not elsewhere classified
3000 Technicians and associate professionals
3100 Science and engineering associate professionals
3110 Physical and engineering science technicians
3111 Chemical and physical science technicians
3112 Civil engineering technicians
3113 Electrical engineering technicians
3114 Electronics engineering technicians
3115 Mechanical engineering technicians
3116 Chemical engineering technicians
3117 Mining and metallurgical technicians
3118 Draughtspersons
3119 Physical and engineering science technicians not elsewhere classified
3120 Mining, manufacturing and construction supervisors
3121 Mining supervisors
3122 Manufacturing supervisors
3123 Construction supervisors
3130 Process control technicians
3131 Power production plant operators
3132 Incinerator and water treatment plant operators
3133 Chemical processing plant controllers
3134 Petroleum and natural gas refining plant operators
3135 Metal production process controllers
3139 Process control technicians not elsewhere classified
3140 Life science technicians and related associate professionals
3141 Life science technicians (excluding medical)
3142 Agricultural technicians
3143 Forestry technicians
3150 Ship and aircraft controllers and technicians
3151 Ships' engineers
3152 Ships' deck officers and pilots
3153 Aircraft pilots and related associate professionals
3154 Air traffic controllers
3155 Air traffic safety electronics technicians
3200 Health associate professionals
3210 Medical and pharmaceutical technicians
3211 Medical imaging and therapeutic equipment technicians
3212 Medical and pathology laboratory technicians
3213 Pharmaceutical technicians and assistants
3214 Medical and dental prosthetic technicians
3220 Nursing and midwifery associate professionals
3221 Nursing associate professionals
3222 Midwifery associate professionals
3230 Traditional and complementary medicine associate professionals
3240 Veterinary technicians and assistants
3250 Other health associate professionals
3251 Dental assistants and therapists
3252 Medical records and health information technicians
3253 Community health workers
3254 Dispensing opticians
3255 Physiotherapy technicians and assistants
3256 Medical assistants
3257 Environmental and occupational health inspectors and associates
3258 Ambulance workers
3259 Health associate professionals not elsewhere classified
3300 Business and administration associate professionals
3310 Financial and mathematical associate professionals
3311 Securities and finance dealers and brokers
3312 Credit and loans officers
3313 Accounting associate professionals
3314 Statistical, mathematical and related associate professionals
3315 Valuers and loss assessors
3320 Sales and purchasing agents and brokers
3321 Insurance representatives
3322 Commercial sales representatives
3323 Buyers
3324 Trade brokers
3330 Business services agents
3331 Clearing and forwarding agents
3332 Conference and event planners
3333 Employment agents and contractors
3334 Real estate agents and property managers
3339 Business services agents not elsewhere classified
3340 Administrative and specialised secretaries
3341 Office supervisors
3342 Legal secretaries
3343 Administrative and executive secretaries
3344 Medical secretaries
3350 Regulatory government associate professionals
3351 Customs and border inspectors
3352 Government tax and excise officials
3353 Government social benefits officials
3354 Government licensing officials
3355 Police inspectors and detectives
3359 Regulatory government associate professionals not elsewhere classified
3400 Legal, social, cultural and related associate professionals
3410 Legal, social and religious associate professionals
3411 Police inspectors and detectives
3412 Social work associate professionals
3413 Religious associate professionals
3420 Sports and fitness workers
3421 Athletes and sports players
3422 Sports coaches, instructors and officials
3423 Fitness and recreation instructors and program leaders
3430 Artistic, cultural and culinary associate professionals
3431 Photographers
3432 Interior designers and decorators
3433 Gallery, museum and library technicians
3434 Chefs
3435 Other artistic and cultural associate professionals
3500 Information and communications technicians
3510 Information and communications technology operations and user support technicians
3511 Information and communications technology operations technicians
3512 Information and communications technology user support technicians
3513 Computer network and systems technicians
3514 Web technicians
3520 Telecommunications and broadcasting technicians
3521 Broadcasting and audio-visual technicians
3522 Telecommunications engineering technicians
4000 Clerical support workers
4100 General and keyboard clerks
4110 General office clerks
4120 Secretaries (general)
4130 Keyboard operators
4131 Typists and word processing operators
4132 Data entry clerks
4200 Customer services clerks
4210 Tellers, money collectors and related clerks
4211 Bank tellers and related clerks
4212 Bookmakers, croupiers and related gaming workers
4213 Pawnbrokers and money-lenders
4214 Debt-collectors and related workers
4220 Client information workers
4221 Travel consultants and clerks
4222 Contact centre information clerks
4223 Telephone switchboard operators
4224 Hotel receptionists
4225 Enquiry clerks
4226 Receptionists (general)
4227 Survey and market research interviewers
4229 Client information workers not elsewhere classified
4300 Numerical and material recording clerks
4310 Numerical clerks
4311 Accounting and bookkeeping clerks
4312 Statistical, finance and insurance clerks
4313 Payroll clerks
4320 Material-recording and transport clerks
4321 Stock clerks
4322 Production clerks
4323 Transport clerks
4400 Other clerical support workers
4410 Other clerical support workers
4411 Library clerks
4412 Mail carriers and sorting clerks
4413 Coding, proof-reading and related clerks
4414 Scribes and related workers
4415 Filing and copying clerks
4416 Personnel clerks
4419 Clerical support workers not elsewhere classified
5000 Service and sales workers
5100 Personal service workers
5110 Travel attendants, conductors and guides
5111 Travel attendants and travel stewards
5112 Transport conductors
5113 Travel guides
5120 Cooks
5130 Waiters and bartenders
5131 Waiters
5132 Bartenders
5140 Hairdressers, beauticians and related workers
5141 Hairdressers
5142 Beauticians and related workers
5150 Building and housekeeping supervisors
5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments
5152 Domestic housekeepers
5153 Building caretakers
5160 Other personal services workers
5161 Astrologers, fortune-tellers and related workers
5162 Companions and valets
5163 Undertakers and embalmers
5164 Pet groomers and animal care workers
5165 Driving instructors
5169 Personal services workers not elsewhere classified
5200 Sales workers
5210 Street and market salespersons
5211 Stall and market salespersons
5212 Street food salespersons
5220 Shop salespersons
5221 Shop keepers
5222 Shop supervisors
5223 Shop sales assistants
5230 Cashiers and ticket clerks
5240 Other sales workers
5241 Fashion and other models
5242 Sales demonstrators
5243 Door to door salespersons
5244 Contact centre salespersons
5245 Service station attendants
5246 Food service counter attendants
5249 Sales workers not elsewhere classified
5300 Personal care workers
5310 Child care workers and teachers' aides
5311 Child care workers
5312 Teachers' aides
5320 Personal care workers in health services
5321 Health care assistants
5322 Home-based personal care workers
5329 Personal care workers in health services not elsewhere classified
5400 Protective services workers
5410 Protective services workers
5411 Fire-fighters
5412 Police officers
5413 Prison guards
5414 Security guards
5419 Protective services workers not elsewhere classified
6000 Skilled agricultural, forestry and fishery workers
6100 Market-oriented skilled agricultural workers
6110 Market gardeners and crop growers
6111 Field crop and vegetable growers
6112 Tree and shrub crop growers
6113 Gardeners, horticultural and nursery growers
6114 Mixed crop growers
6120 Animal producers
6121 Livestock and dairy producers
6122 Poultry producers
6123 Apiarists and sericulturists
6129 Animal producers not elsewhere classified
6130 Mixed crop and animal producers
6200 Market-oriented skilled forestry, fishery and hunting workers
6210 Forestry and related workers
6220 Fishery workers, hunters and trappers
6221 Aquaculture workers
6222 Inland and coastal waters fishery workers
6223 Deep-sea fishery workers
6224 Hunters and trappers
6300 Subsistence farmers, fishers, hunters and gatherers
6310 Subsistence crop farmers
6320 Subsistence livestock farmers
6330 Subsistence mixed crop and livestock farmers
6340 Subsistence fishers, hunters, trappers and gatherers
7000 Craft and related trades workers
7100 Building and related trades workers, excluding electricians
7110 Building frame and related trades workers
7111 House builders
7112 Bricklayers and related workers
7113 Stonemasons, stone cutters, splitters and carvers
7114 Concrete placers, concrete finishers and related workers
7115 Carpenters and joiners
7119 Building frame and related trades workers not elsewhere classified
7120 Building finishers and related trades workers
7121 Roofers
7122 Floor layers and tile setters
7123 Plasterers
7124 Insulation workers
7125 Glaziers
7126 Plumbers and pipe fitters
7127 Air conditioning and refrigeration mechanics
7130 Painters, building structure cleaners and related trades workers
7131 Painters and related workers
7132 Spray painters and varnishers
7133 Building structure cleaners
7200 Metal, machinery and related trades workers
7210 Sheet and structural metal workers, moulders and welders, and related workers
7211 Metal moulders and coremakers
7212 Welders and flamecutters
7213 Sheet-metal workers
7214 Structural-metal preparers and erectors
7215 Riggers and cable splicers
7220 Blacksmiths, toolmakers and related trades workers
7221 Blacksmiths, hammersmiths and forging press workers
7222 Toolmakers and related workers
7223 Metal working machine tool setters and operators
7224 Metal polishers, wheel grinders and tool sharpeners
7230 Machinery mechanics and repairers
7231 Motor vehicle mechanics and repairers
7232 Aircraft engine mechanics and repairers
7233 Agricultural and industrial machinery mechanics and repairers
7234 Bicycle and related repairers
7300 Handicraft and printing workers
7310 Handicraft workers
7311 Precision-instrument makers and repairers
7312 Musical instrument makers and tuners
7313 Jewellery and precious-metal workers
7314 Potters and related workers
7315 Glass makers, cutters, grinders and finishers
7316 Sign writers, decorative painters, engravers and etchers
7317 Handicraft workers in wood, basketry and related materials
7318 Handicraft workers in textile, leather and related materials
7319 Handicraft workers not elsewhere classified
7320 Printing trades workers
7321 Pre-press technicians
7322 Printers
7323 Print finishing and binding workers
7400 Electrical and electronic trades workers
7410 Electrical equipment installers and repairers
7411 Building and related electricians
7412 Electrical mechanics and fitters
7413 Electrical line installers and repairers
7420 Electronics and telecommunications installers and repairers
7421 Electronics mechanics and servicers
7422 Information and communications technology installers and servicers
7500 Food processing, wood working, garment and other craft and related trades workers
7510 Food processing and related trades workers
7511 Butchers, fishmongers and related food preparers
7512 Bakers, pastry-cooks and confectionery makers
7513 Dairy-products makers
7514 Fruit, vegetable and related preservers
7515 Food and beverage tasters and graders
7516 Tobacco preparers and tobacco products makers
7520 Wood treaters, cabinet-makers and related trades workers
7521 Wood treaters
7522 Cabinet-makers and related workers
7523 Woodworking-machine tool setters and operators
7530 Garment and related trades workers
7531 Tailors, dressmakers, furriers and hatters
7532 Garment and related pattern-makers and cutters
7533 Sewing, embroidery and related workers
7534 Upholsterers and related workers
7535 Pelt dressers, tanners and fellmongers
7536 Shoemakers and related workers
7540 Other craft and related workers
7541 Underwater divers
7542 Shotfirers and blasters
7543 Product graders and testers (excluding foods and beverages)
7544 Fumigators and other pest and weed controllers
7549 Craft and related workers not elsewhere classified
8000 Plant and machine operators, and assemblers
8100 Stationary plant and machine operators
8110 Mining and mineral processing plant operators
8111 Miners and quarriers
8112 Mineral and stone processing plant operators
8113 Well drillers and borers and related workers
8114 Cement, stone and other mineral products machine operators
8120 Metal processing and finishing plant operators
8121 Metal processing plant operators
8122 Metal finishing, plating and coating machine operators
8130 Chemical and photographic products plant and machine operators
8131 Chemical products plant and machine operators
8132 Photographic products machine operators
8140 Rubber, plastic and paper products machine operators
8141 Rubber products machine operators
8142 Plastic products machine operators
8143 Paper products machine operators
8150 Textile, fur and leather products machine operators
8151 Fibre preparing, spinning and winding machine operators
8152 Weaving and knitting machine operators
8153 Sewing machine operators
8154 Bleaching, dyeing and fabric cleaning machine operators
8155 Fur and leather preparing machine operators
8156 Shoemaking and related machine operators
8157 Laundry machine operators
8159 Textile, fur and leather products machine operators not elsewhere classified
8160 Food and related products machine operators
8170 Wood processing and papermaking plant operators
8171 Pulp and papermaking plant operators
8172 Wood processing plant operators
8180 Other stationary plant and machine operators
8181 Glass and ceramics plant operators
8182 Steam engine and boiler operators
8183 Packing, bottling and labelling machine operators
8189 Stationary plant and machine operators not elsewhere classified
8200 Assemblers
8210 Assemblers
8211 Mechanical machinery assemblers
8212 Electrical and electronic equipment assemblers
8219 Assemblers not elsewhere classified
8300 Drivers and mobile plant operators
8310 Locomotive engine drivers and related workers
8311 Locomotive engine drivers
8312 Railway brake, signal and switch operators
8320 Car, van and motorcycle drivers
8321 Motorcycle drivers
8322 Car, taxi and van drivers
8330 Heavy truck and bus drivers
8331 Bus and tram drivers
8332 Heavy truck and lorry drivers
8340 Mobile plant operators
8341 Mobile farm and forestry plant operators
8342 Earthmoving and related plant operators
8343 Crane, hoist and related plant operators
8344 Lifting truck operators
8350 Ships' deck crews and related workers
9000 Elementary occupations
9100 Cleaners and helpers
9110 Domestic, hotel and office cleaners and helpers
9111 Domestic cleaners and helpers
9112 Cleaners and helpers in offices, hotels and other establishments
9120 Vehicle, window, laundry and other hand cleaning workers
9121 Hand launderers and pressers
9122 Vehicle cleaners
9123 Window cleaners
9129 Other cleaning workers
9200 Agricultural, forestry and fishery labourers
9210 Agricultural, forestry and fishery labourers
9211 Crop farm labourers
9212 Livestock farm labourers
9213 Mixed crop and livestock farm labourers
9214 Garden and horticultural labourers
9215 Forestry labourers
9216 Fishery and aquaculture labourers
9300 Labourers in mining, construction, manufacturing and transport
9310 Mining and construction labourers
9311 Mining and quarrying labourers
9312 Civil engineering labourers
9313 Building construction labourers
9320 Manufacturing labourers
9321 Hand packers
9329 Manufacturing labourers not elsewhere classified
9330 Transport and storage labourers
9331 Hand and pedal vehicle drivers
9332 Drivers of animal-drawn vehicles and machinery
9333 Freight handlers
9334 Shelf fillers
9400 Food preparation assistants
9410 Food preparation assistants
9411 Fast food preparers
9412 Kitchen helpers
9500 Street and related sales and service workers
9510 Street and related service workers
9520 Street vendors (excluding food)
9600 Refuse workers and other elementary workers
9610 Refuse workers
9611 Garbage and recycling collectors
9612 Refuse sorters
9613 Sweepers and related labourers
9620 Other elementary workers
9621 Messengers, package deliverers and luggage porters
9622 Odd job persons
9623 Meter readers and vending-machine collectors
9624 Water and firewood collectors
9629 Elementary workers not elsewhere classified
9997 Uncodeable
9998 Don't know, inadequately described
9999 No answer
5747
SPISCO08 Label: R's Mothers occupation, 2010 census & 2008 ISCO code
Format: F8.0
Measure: Scale
Display Width: 10
Missing Values: 0; 9998; 9999
Value Label
0 IAP
110 Commissioned armed forces officers
210 Non-commissioned armed forces officers
310 Armed forces occupations, other ranks
1000 Managers
1100 Chief executives, senior officials and legislators
1110 Legislators and senior officials
1111 Legislators
1112 Senior government officials
1113 Traditional chiefs and heads of village
1114 Senior officials of special-interest organizations
1120 Managing directors and chief executives
1200 Administrative and commercial managers
1210 Business services and administration managers
1211 Finance managers
1212 Human resource managers
1213 Policy and planning managers
1219 Business services and administration managers not elsewhere classified
1220 Sales, marketing and development managers
1221 Sales and marketing managers
1222 Advertising and public relations managers
1223 Research and development managers
1300 Production and specialised services managers
1310 Production managers in agriculture, forestry and fisheries
1311 Agricultural and forestry production managers
1312 Aquaculture and fisheries production managers
1320 Manufacturing, mining, construction, and distribution managers
1321 Manufacturing managers
1322 Mining managers
1323 Construction managers
1324 Supply, distribution and related managers
1330 Information and communications technology service managers
1340 Professional services managers
1341 Child care services managers
1342 Health services managers
1343 Aged care services managers
1344 Social welfare managers
1345 Education managers
1346 Financial and insurance services branch managers
1349 Professional services managers not elsewhere classified
1400 Hospitality, retail and other services managers
1410 Hotel and restaurant managers
1411 Hotel managers
1412 Restaurant managers
1420 Retail and wholesale trade managers
1430 Other services managers
1431 Sports, recreation and cultural centre managers
1439 Services managers not elsewhere classified
2000 Professionals
2100 Science and engineering professionals
2110 Physical and earth science professionals
2111 Physicists and astronomers
2112 Meteorologists
2113 Chemists
2114 Geologists and geophysicists
2120 Mathematicians, actuaries and statisticians
2130 Life science professionals
2131 Biologists, botanists, zoologists and related professionals
2132 Farming, forestry and fisheries advisers
2133 Environmental protection professionals
2140 Engineering professionals (excluding electrotechnology)
2141 Industrial and production engineers
2142 Civil engineers
2143 Environmental engineers
2144 Mechanical engineers
2145 Chemical engineers
2146 Mining engineers, metallurgists and related professionals
2149 Engineering professionals not elsewhere classified
2150 Electrotechnology engineers
2151 Electrical engineers
2152 Electronics engineers
2153 Telecommunications engineers
2160 Architects, planners, surveyors and designers
2161 Building architects
2162 Landscape architects
2163 Product and garment designers
2164 Town and traffic planners
2165 Cartographers and surveyors
2166 Graphic and multimedia designers
2200 Health professionals
2210 Medical doctors
2211 Generalist medical practitioners
2212 Specialist medical practitioners
2220 Nursing and midwifery professionals
2221 Nursing professionals
2222 Midwifery professionals
2230 Traditional and complementary medicine professionals
2240 Paramedical practitioners
2250 Veterinarians
2260 Other health professionals
2261 Dentists
2262 Pharmacists
2263 Environmental and occupational health and hygiene professionals
2264 Physiotherapists
2265 Dieticians and nutritionists
2266 Audiologists and speech therapists
2267 Optometrists and ophthalmic opticians
2269 Health professionals not elsewhere classified
2300 Teaching professionals
2310 University and higher education teachers
2320 Vocational education teachers
2330 Secondary education teachers
2340 Primary school and early childhood teachers
2341 Primary school teachers
2342 Early childhood educators
2350 Other teaching professionals
2351 Education methods specialists
2352 Special needs teachers
2353 Other language teachers
2354 Other music teachers
2355 Other arts teachers
2356 Information technology trainers
2359 Teaching professionals not elsewhere classified
2400 Business and administration professionals
2410 Finance professionals
2411 Accountants
2412 Financial and investment advisers
2413 Financial analysts
2420 Administration professionals
2421 Management and organization analysts
2422 Policy administration professionals
2423 Personnel and careers professionals
2424 Training and staff development professionals
2430 Sales, marketing and public relations professionals
2431 Advertising and marketing professionals
2432 Public relations professionals
2433 Technical and medical sales professionals (excluding ICT)
2434 Information and communications technology sales professionals
2500 Information and communications technology professionals
2510 Software and applications developers and analysts
2511 Systems analysts
2512 Software developers
2513 Web and multimedia developers
2514 Applications programmers
2519 Software and applications developers and analysts not elsewhere classified
2520 Database and network professionals
2521 Database designers and administrators
2522 Systems administrators
2523 Computer network professionals
2529 Database and network professionals not elsewhere classified
2600 Legal, social and cultural professionals
2610 Legal professionals
2611 Lawyers
2612 Judges
2619 Legal professionals not elsewhere classified
2620 Librarians, archivists and curators
2621 Archivists and curators
2622 Librarians and related information professionals
2630 Social and religious professionals
2631 Economists
2632 Sociologists, anthropologists and related professionals
2633 Philosophers, historians and political scientists
2634 Psychologists
2635 Social work and counselling professionals
2636 Religious professionals
2640 Authors, journalists and linguists
2641 Authors and related writers
2642 Journalists
2643 Translators, interpreters and other linguists
2650 Creative and performing artists
2651 Visual artists
2652 Musicians, singers and composers
2653 Dancers and choreographers
2654 Film, stage and related directors and producers
2655 Actors
2656 Announcers on radio, television and other media
2659 Creative and performing artists not elsewhere classified
3000 Technicians and associate professionals
3100 Science and engineering associate professionals
3110 Physical and engineering science technicians
3111 Chemical and physical science technicians
3112 Civil engineering technicians
3113 Electrical engineering technicians
3114 Electronics engineering technicians
3115 Mechanical engineering technicians
3116 Chemical engineering technicians
3117 Mining and metallurgical technicians
3118 Draughtspersons
3119 Physical and engineering science technicians not elsewhere classified
3120 Mining, manufacturing and construction supervisors
3121 Mining supervisors
3122 Manufacturing supervisors
3123 Construction supervisors
3130 Process control technicians
3131 Power production plant operators
3132 Incinerator and water treatment plant operators
3133 Chemical processing plant controllers
3134 Petroleum and natural gas refining plant operators
3135 Metal production process controllers
3139 Process control technicians not elsewhere classified
3140 Life science technicians and related associate professionals
3141 Life science technicians (excluding medical)
3142 Agricultural technicians
3143 Forestry technicians
3150 Ship and aircraft controllers and technicians
3151 Ships' engineers
3152 Ships' deck officers and pilots
3153 Aircraft pilots and related associate professionals
3154 Air traffic controllers
3155 Air traffic safety electronics technicians
3200 Health associate professionals
3210 Medical and pharmaceutical technicians
3211 Medical imaging and therapeutic equipment technicians
3212 Medical and pathology laboratory technicians
3213 Pharmaceutical technicians and assistants
3214 Medical and dental prosthetic technicians
3220 Nursing and midwifery associate professionals
3221 Nursing associate professionals
3222 Midwifery associate professionals
3230 Traditional and complementary medicine associate professionals
3240 Veterinary technicians and assistants
3250 Other health associate professionals
3251 Dental assistants and therapists
3252 Medical records and health information technicians
3253 Community health workers
3254 Dispensing opticians
3255 Physiotherapy technicians and assistants
3256 Medical assistants
3257 Environmental and occupational health inspectors and associates
3258 Ambulance workers
3259 Health associate professionals not elsewhere classified
3300 Business and administration associate professionals
3310 Financial and mathematical associate professionals
3311 Securities and finance dealers and brokers
3312 Credit and loans officers
3313 Accounting associate professionals
3314 Statistical, mathematical and related associate professionals
3315 Valuers and loss assessors
3320 Sales and purchasing agents and brokers
3321 Insurance representatives
3322 Commercial sales representatives
3323 Buyers
3324 Trade brokers
3330 Business services agents
3331 Clearing and forwarding agents
3332 Conference and event planners
3333 Employment agents and contractors
3334 Real estate agents and property managers
3339 Business services agents not elsewhere classified
3340 Administrative and specialised secretaries
3341 Office supervisors
3342 Legal secretaries
3343 Administrative and executive secretaries
3344 Medical secretaries
3350 Regulatory government associate professionals
3351 Customs and border inspectors
3352 Government tax and excise officials
3353 Government social benefits officials
3354 Government licensing officials
3355 Police inspectors and detectives
3359 Regulatory government associate professionals not elsewhere classified
3400 Legal, social, cultural and related associate professionals
3410 Legal, social and religious associate professionals
3411 Police inspectors and detectives
3412 Social work associate professionals
3413 Religious associate professionals
3420 Sports and fitness workers
3421 Athletes and sports players
3422 Sports coaches, instructors and officials
3423 Fitness and recreation instructors and program leaders
3430 Artistic, cultural and culinary associate professionals
3431 Photographers
3432 Interior designers and decorators
3433 Gallery, museum and library technicians
3434 Chefs
3435 Other artistic and cultural associate professionals
3500 Information and communications technicians
3510 Information and communications technology operations and user support technicians
3511 Information and communications technology operations technicians
3512 Information and communications technology user support technicians
3513 Computer network and systems technicians
3514 Web technicians
3520 Telecommunications and broadcasting technicians
3521 Broadcasting and audio-visual technicians
3522 Telecommunications engineering technicians
4000 Clerical support workers
4100 General and keyboard clerks
4110 General office clerks
4120 Secretaries (general)
4130 Keyboard operators
4131 Typists and word processing operators
4132 Data entry clerks
4200 Customer services clerks
4210 Tellers, money collectors and related clerks
4211 Bank tellers and related clerks
4212 Bookmakers, croupiers and related gaming workers
4213 Pawnbrokers and money-lenders
4214 Debt-collectors and related workers
4220 Client information workers
4221 Travel consultants and clerks
4222 Contact centre information clerks
4223 Telephone switchboard operators
4224 Hotel receptionists
4225 Enquiry clerks
4226 Receptionists (general)
4227 Survey and market research interviewers
4229 Client information workers not elsewhere classified
4300 Numerical and material recording clerks
4310 Numerical clerks
4311 Accounting and bookkeeping clerks
4312 Statistical, finance and insurance clerks
4313 Payroll clerks
4320 Material-recording and transport clerks
4321 Stock clerks
4322 Production clerks
4323 Transport clerks
4400 Other clerical support workers
4410 Other clerical support workers
4411 Library clerks
4412 Mail carriers and sorting clerks
4413 Coding, proof-reading and related clerks
4414 Scribes and related workers
4415 Filing and copying clerks
4416 Personnel clerks
4419 Clerical support workers not elsewhere classified
5000 Service and sales workers
5100 Personal service workers
5110 Travel attendants, conductors and guides
5111 Travel attendants and travel stewards
5112 Transport conductors
5113 Travel guides
5120 Cooks
5130 Waiters and bartenders
5131 Waiters
5132 Bartenders
5140 Hairdressers, beauticians and related workers
5141 Hairdressers
5142 Beauticians and related workers
5150 Building and housekeeping supervisors
5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments
5152 Domestic housekeepers
5153 Building caretakers
5160 Other personal services workers
5161 Astrologers, fortune-tellers and related workers
5162 Companions and valets
5163 Undertakers and embalmers
5164 Pet groomers and animal care workers
5165 Driving instructors
5169 Personal services workers not elsewhere classified
5200 Sales workers
5210 Street and market salespersons
5211 Stall and market salespersons
5212 Street food salespersons
5220 Shop salespersons
5221 Shop keepers
5222 Shop supervisors
5223 Shop sales assistants
5230 Cashiers and ticket clerks
5240 Other sales workers
5241 Fashion and other models
5242 Sales demonstrators
5243 Door to door salespersons
5244 Contact centre salespersons
5245 Service station attendants
5246 Food service counter attendants
5249 Sales workers not elsewhere classified
5300 Personal care workers
5310 Child care workers and teachers' aides
5311 Child care workers
5312 Teachers' aides
5320 Personal care workers in health services
5321 Health care assistants
5322 Home-based personal care workers
5329 Personal care workers in health services not elsewhere classified
5400 Protective services workers
5410 Protective services workers
5411 Fire-fighters
5412 Police officers
5413 Prison guards
5414 Security guards
5419 Protective services workers not elsewhere classified
6000 Skilled agricultural, forestry and fishery workers
6100 Market-oriented skilled agricultural workers
6110 Market gardeners and crop growers
6111 Field crop and vegetable growers
6112 Tree and shrub crop growers
6113 Gardeners, horticultural and nursery growers
6114 Mixed crop growers
6120 Animal producers
6121 Livestock and dairy producers
6122 Poultry producers
6123 Apiarists and sericulturists
6129 Animal producers not elsewhere classified
6130 Mixed crop and animal producers
6200 Market-oriented skilled forestry, fishery and hunting workers
6210 Forestry and related workers
6220 Fishery workers, hunters and trappers
6221 Aquaculture workers
6222 Inland and coastal waters fishery workers
6223 Deep-sea fishery workers
6224 Hunters and trappers
6300 Subsistence farmers, fishers, hunters and gatherers
6310 Subsistence crop farmers
6320 Subsistence livestock farmers
6330 Subsistence mixed crop and livestock farmers
6340 Subsistence fishers, hunters, trappers and gatherers
7000 Craft and related trades workers
7100 Building and related trades workers, excluding electricians
7110 Building frame and related trades workers
7111 House builders
7112 Bricklayers and related workers
7113 Stonemasons, stone cutters, splitters and carvers
7114 Concrete placers, concrete finishers and related workers
7115 Carpenters and joiners
7119 Building frame and related trades workers not elsewhere classified
7120 Building finishers and related trades workers
7121 Roofers
7122 Floor layers and tile setters
7123 Plasterers
7124 Insulation workers
7125 Glaziers
7126 Plumbers and pipe fitters
7127 Air conditioning and refrigeration mechanics
7130 Painters, building structure cleaners and related trades workers
7131 Painters and related workers
7132 Spray painters and varnishers
7133 Building structure cleaners
7200 Metal, machinery and related trades workers
7210 Sheet and structural metal workers, moulders and welders, and related workers
7211 Metal moulders and coremakers
7212 Welders and flamecutters
7213 Sheet-metal workers
7214 Structural-metal preparers and erectors
7215 Riggers and cable splicers
7220 Blacksmiths, toolmakers and related trades workers
7221 Blacksmiths, hammersmiths and forging press workers
7222 Toolmakers and related workers
7223 Metal working machine tool setters and operators
7224 Metal polishers, wheel grinders and tool sharpeners
7230 Machinery mechanics and repairers
7231 Motor vehicle mechanics and repairers
7232 Aircraft engine mechanics and repairers
7233 Agricultural and industrial machinery mechanics and repairers
7234 Bicycle and related repairers
7300 Handicraft and printing workers
7310 Handicraft workers
7311 Precision-instrument makers and repairers
7312 Musical instrument makers and tuners
7313 Jewellery and precious-metal workers
7314 Potters and related workers
7315 Glass makers, cutters, grinders and finishers
7316 Sign writers, decorative painters, engravers and etchers
7317 Handicraft workers in wood, basketry and related materials
7318 Handicraft workers in textile, leather and related materials
7319 Handicraft workers not elsewhere classified
7320 Printing trades workers
7321 Pre-press technicians
7322 Printers
7323 Print finishing and binding workers
7400 Electrical and electronic trades workers
7410 Electrical equipment installers and repairers
7411 Building and related electricians
7412 Electrical mechanics and fitters
7413 Electrical line installers and repairers
7420 Electronics and telecommunications installers and repairers
7421 Electronics mechanics and servicers
7422 Information and communications technology installers and servicers
7500 Food processing, wood working, garment and other craft and related trades workers
7510 Food processing and related trades workers
7511 Butchers, fishmongers and related food preparers
7512 Bakers, pastry-cooks and confectionery makers
7513 Dairy-products makers
7514 Fruit, vegetable and related preservers
7515 Food and beverage tasters and graders
7516 Tobacco preparers and tobacco products makers
7520 Wood treaters, cabinet-makers and related trades workers
7521 Wood treaters
7522 Cabinet-makers and related workers
7523 Woodworking-machine tool setters and operators
7530 Garment and related trades workers
7531 Tailors, dressmakers, furriers and hatters
7532 Garment and related pattern-makers and cutters
7533 Sewing, embroidery and related workers
7534 Upholsterers and related workers
7535 Pelt dressers, tanners and fellmongers
7536 Shoemakers and related workers
7540 Other craft and related workers
7541 Underwater divers
7542 Shotfirers and blasters
7543 Product graders and testers (excluding foods and beverages)
7544 Fumigators and other pest and weed controllers
7549 Craft and related workers not elsewhere classified
8000 Plant and machine operators, and assemblers
8100 Stationary plant and machine operators
8110 Mining and mineral processing plant operators
8111 Miners and quarriers
8112 Mineral and stone processing plant operators
8113 Well drillers and borers and related workers
8114 Cement, stone and other mineral products machine operators
8120 Metal processing and finishing plant operators
8121 Metal processing plant operators
8122 Metal finishing, plating and coating machine operators
8130 Chemical and photographic products plant and machine operators
8131 Chemical products plant and machine operators
8132 Photographic products machine operators
8140 Rubber, plastic and paper products machine operators
8141 Rubber products machine operators
8142 Plastic products machine operators
8143 Paper products machine operators
8150 Textile, fur and leather products machine operators
8151 Fibre preparing, spinning and winding machine operators
8152 Weaving and knitting machine operators
8153 Sewing machine operators
8154 Bleaching, dyeing and fabric cleaning machine operators
8155 Fur and leather preparing machine operators
8156 Shoemaking and related machine operators
8157 Laundry machine operators
8159 Textile, fur and leather products machine operators not elsewhere classified
8160 Food and related products machine operators
8170 Wood processing and papermaking plant operators
8171 Pulp and papermaking plant operators
8172 Wood processing plant operators
8180 Other stationary plant and machine operators
8181 Glass and ceramics plant operators
8182 Steam engine and boiler operators
8183 Packing, bottling and labelling machine operators
8189 Stationary plant and machine operators not elsewhere classified
8200 Assemblers
8210 Assemblers
8211 Mechanical machinery assemblers
8212 Electrical and electronic equipment assemblers
8219 Assemblers not elsewhere classified
8300 Drivers and mobile plant operators
8310 Locomotive engine drivers and related workers
8311 Locomotive engine drivers
8312 Railway brake, signal and switch operators
8320 Car, van and motorcycle drivers
8321 Motorcycle drivers
8322 Car, taxi and van drivers
8330 Heavy truck and bus drivers
8331 Bus and tram drivers
8332 Heavy truck and lorry drivers
8340 Mobile plant operators
8341 Mobile farm and forestry plant operators
8342 Earthmoving and related plant operators
8343 Crane, hoist and related plant operators
8344 Lifting truck operators
8350 Ships' deck crews and related workers
9000 Elementary occupations
9100 Cleaners and helpers
9110 Domestic, hotel and office cleaners and helpers
9111 Domestic cleaners and helpers
9112 Cleaners and helpers in offices, hotels and other establishments
9120 Vehicle, window, laundry and other hand cleaning workers
9121 Hand launderers and pressers
9122 Vehicle cleaners
9123 Window cleaners
9129 Other cleaning workers
9200 Agricultural, forestry and fishery labourers
9210 Agricultural, forestry and fishery labourers
9211 Crop farm labourers
9212 Livestock farm labourers
9213 Mixed crop and livestock farm labourers
9214 Garden and horticultural labourers
9215 Forestry labourers
9216 Fishery and aquaculture labourers
9300 Labourers in mining, construction, manufacturing and transport
9310 Mining and construction labourers
9311 Mining and quarrying labourers
9312 Civil engineering labourers
9313 Building construction labourers
9320 Manufacturing labourers
9321 Hand packers
9329 Manufacturing labourers not elsewhere classified
9330 Transport and storage labourers
9331 Hand and pedal vehicle drivers
9332 Drivers of animal-drawn vehicles and machinery
9333 Freight handlers
9334 Shelf fillers
9400 Food preparation assistants
9410 Food preparation assistants
9411 Fast food preparers
9412 Kitchen helpers
9500 Street and related sales and service workers
9510 Street and related service workers
9520 Street vendors (excluding food)
9600 Refuse workers and other elementary workers
9610 Refuse workers
9611 Garbage and recycling collectors
9612 Refuse sorters
9613 Sweepers and related labourers
9620 Other elementary workers
9621 Messengers, package deliverers and luggage porters
9622 Odd job persons
9623 Meter readers and vending-machine collectors
9624 Water and firewood collectors
9629 Elementary workers not elsewhere classified
9997 Uncodeable
9998 Don't know, inadequately described
9999 No answer
5748
COISCO08 Label: Partner's occupation, 2010 census & 2008 ISCO code
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9998; 9999
Value Label
0 IAP
110 Commissioned armed forces officers
210 Non-commissioned armed forces officers
310 Armed forces occupations, other ranks
1000 Managers
1100 Chief executives, senior officials and legislators
1110 Legislators and senior officials
1111 Legislators
1112 Senior government officials
1113 Traditional chiefs and heads of village
1114 Senior officials of special-interest organizations
1120 Managing directors and chief executives
1200 Administrative and commercial managers
1210 Business services and administration managers
1211 Finance managers
1212 Human resource managers
1213 Policy and planning managers
1219 Business services and administration managers not elsewhere classified
1220 Sales, marketing and development managers
1221 Sales and marketing managers
1222 Advertising and public relations managers
1223 Research and development managers
1300 Production and specialised services managers
1310 Production managers in agriculture, forestry and fisheries
1311 Agricultural and forestry production managers
1312 Aquaculture and fisheries production managers
1320 Manufacturing, mining, construction, and distribution managers
1321 Manufacturing managers
1322 Mining managers
1323 Construction managers
1324 Supply, distribution and related managers
1330 Information and communications technology service managers
1340 Professional services managers
1341 Child care services managers
1342 Health services managers
1343 Aged care services managers
1344 Social welfare managers
1345 Education managers
1346 Financial and insurance services branch managers
1349 Professional services managers not elsewhere classified
1400 Hospitality, retail and other services managers
1410 Hotel and restaurant managers
1411 Hotel managers
1412 Restaurant managers
1420 Retail and wholesale trade managers
1430 Other services managers
1431 Sports, recreation and cultural centre managers
1439 Services managers not elsewhere classified
2000 Professionals
2100 Science and engineering professionals
2110 Physical and earth science professionals
2111 Physicists and astronomers
2112 Meteorologists
2113 Chemists
2114 Geologists and geophysicists
2120 Mathematicians, actuaries and statisticians
2130 Life science professionals
2131 Biologists, botanists, zoologists and related professionals
2132 Farming, forestry and fisheries advisers
2133 Environmental protection professionals
2140 Engineering professionals (excluding electrotechnology)
2141 Industrial and production engineers
2142 Civil engineers
2143 Environmental engineers
2144 Mechanical engineers
2145 Chemical engineers
2146 Mining engineers, metallurgists and related professionals
2149 Engineering professionals not elsewhere classified
2150 Electrotechnology engineers
2151 Electrical engineers
2152 Electronics engineers
2153 Telecommunications engineers
2160 Architects, planners, surveyors and designers
2161 Building architects
2162 Landscape architects
2163 Product and garment designers
2164 Town and traffic planners
2165 Cartographers and surveyors
2166 Graphic and multimedia designers
2200 Health professionals
2210 Medical doctors
2211 Generalist medical practitioners
2212 Specialist medical practitioners
2220 Nursing and midwifery professionals
2221 Nursing professionals
2222 Midwifery professionals
2230 Traditional and complementary medicine professionals
2240 Paramedical practitioners
2250 Veterinarians
2260 Other health professionals
2261 Dentists
2262 Pharmacists
2263 Environmental and occupational health and hygiene professionals
2264 Physiotherapists
2265 Dieticians and nutritionists
2266 Audiologists and speech therapists
2267 Optometrists and ophthalmic opticians
2269 Health professionals not elsewhere classified
2300 Teaching professionals
2310 University and higher education teachers
2320 Vocational education teachers
2330 Secondary education teachers
2340 Primary school and early childhood teachers
2341 Primary school teachers
2342 Early childhood educators
2350 Other teaching professionals
2351 Education methods specialists
2352 Special needs teachers
2353 Other language teachers
2354 Other music teachers
2355 Other arts teachers
2356 Information technology trainers
2359 Teaching professionals not elsewhere classified
2400 Business and administration professionals
2410 Finance professionals
2411 Accountants
2412 Financial and investment advisers
2413 Financial analysts
2420 Administration professionals
2421 Management and organization analysts
2422 Policy administration professionals
2423 Personnel and careers professionals
2424 Training and staff development professionals
2430 Sales, marketing and public relations professionals
2431 Advertising and marketing professionals
2432 Public relations professionals
2433 Technical and medical sales professionals (excluding ICT)
2434 Information and communications technology sales professionals
2500 Information and communications technology professionals
2510 Software and applications developers and analysts
2511 Systems analysts
2512 Software developers
2513 Web and multimedia developers
2514 Applications programmers
2519 Software and applications developers and analysts not elsewhere classified
2520 Database and network professionals
2521 Database designers and administrators
2522 Systems administrators
2523 Computer network professionals
2529 Database and network professionals not elsewhere classified
2600 Legal, social and cultural professionals
2610 Legal professionals
2611 Lawyers
2612 Judges
2619 Legal professionals not elsewhere classified
2620 Librarians, archivists and curators
2621 Archivists and curators
2622 Librarians and related information professionals
2630 Social and religious professionals
2631 Economists
2632 Sociologists, anthropologists and related professionals
2633 Philosophers, historians and political scientists
2634 Psychologists
2635 Social work and counselling professionals
2636 Religious professionals
2640 Authors, journalists and linguists
2641 Authors and related writers
2642 Journalists
2643 Translators, interpreters and other linguists
2650 Creative and performing artists
2651 Visual artists
2652 Musicians, singers and composers
2653 Dancers and choreographers
2654 Film, stage and related directors and producers
2655 Actors
2656 Announcers on radio, television and other media
2659 Creative and performing artists not elsewhere classified
3000 Technicians and associate professionals
3100 Science and engineering associate professionals
3110 Physical and engineering science technicians
3111 Chemical and physical science technicians
3112 Civil engineering technicians
3113 Electrical engineering technicians
3114 Electronics engineering technicians
3115 Mechanical engineering technicians
3116 Chemical engineering technicians
3117 Mining and metallurgical technicians
3118 Draughtspersons
3119 Physical and engineering science technicians not elsewhere classified
3120 Mining, manufacturing and construction supervisors
3121 Mining supervisors
3122 Manufacturing supervisors
3123 Construction supervisors
3130 Process control technicians
3131 Power production plant operators
3132 Incinerator and water treatment plant operators
3133 Chemical processing plant controllers
3134 Petroleum and natural gas refining plant operators
3135 Metal production process controllers
3139 Process control technicians not elsewhere classified
3140 Life science technicians and related associate professionals
3141 Life science technicians (excluding medical)
3142 Agricultural technicians
3143 Forestry technicians
3150 Ship and aircraft controllers and technicians
3151 Ships' engineers
3152 Ships' deck officers and pilots
3153 Aircraft pilots and related associate professionals
3154 Air traffic controllers
3155 Air traffic safety electronics technicians
3200 Health associate professionals
3210 Medical and pharmaceutical technicians
3211 Medical imaging and therapeutic equipment technicians
3212 Medical and pathology laboratory technicians
3213 Pharmaceutical technicians and assistants
3214 Medical and dental prosthetic technicians
3220 Nursing and midwifery associate professionals
3221 Nursing associate professionals
3222 Midwifery associate professionals
3230 Traditional and complementary medicine associate professionals
3240 Veterinary technicians and assistants
3250 Other health associate professionals
3251 Dental assistants and therapists
3252 Medical records and health information technicians
3253 Community health workers
3254 Dispensing opticians
3255 Physiotherapy technicians and assistants
3256 Medical assistants
3257 Environmental and occupational health inspectors and associates
3258 Ambulance workers
3259 Health associate professionals not elsewhere classified
3300 Business and administration associate professionals
3310 Financial and mathematical associate professionals
3311 Securities and finance dealers and brokers
3312 Credit and loans officers
3313 Accounting associate professionals
3314 Statistical, mathematical and related associate professionals
3315 Valuers and loss assessors
3320 Sales and purchasing agents and brokers
3321 Insurance representatives
3322 Commercial sales representatives
3323 Buyers
3324 Trade brokers
3330 Business services agents
3331 Clearing and forwarding agents
3332 Conference and event planners
3333 Employment agents and contractors
3334 Real estate agents and property managers
3339 Business services agents not elsewhere classified
3340 Administrative and specialised secretaries
3341 Office supervisors
3342 Legal secretaries
3343 Administrative and executive secretaries
3344 Medical secretaries
3350 Regulatory government associate professionals
3351 Customs and border inspectors
3352 Government tax and excise officials
3353 Government social benefits officials
3354 Government licensing officials
3355 Police inspectors and detectives
3359 Regulatory government associate professionals not elsewhere classified
3400 Legal, social, cultural and related associate professionals
3410 Legal, social and religious associate professionals
3411 Police inspectors and detectives
3412 Social work associate professionals
3413 Religious associate professionals
3420 Sports and fitness workers
3421 Athletes and sports players
3422 Sports coaches, instructors and officials
3423 Fitness and recreation instructors and program leaders
3430 Artistic, cultural and culinary associate professionals
3431 Photographers
3432 Interior designers and decorators
3433 Gallery, museum and library technicians
3434 Chefs
3435 Other artistic and cultural associate professionals
3500 Information and communications technicians
3510 Information and communications technology operations and user support technicians
3511 Information and communications technology operations technicians
3512 Information and communications technology user support technicians
3513 Computer network and systems technicians
3514 Web technicians
3520 Telecommunications and broadcasting technicians
3521 Broadcasting and audio-visual technicians
3522 Telecommunications engineering technicians
4000 Clerical support workers
4100 General and keyboard clerks
4110 General office clerks
4120 Secretaries (general)
4130 Keyboard operators
4131 Typists and word processing operators
4132 Data entry clerks
4200 Customer services clerks
4210 Tellers, money collectors and related clerks
4211 Bank tellers and related clerks
4212 Bookmakers, croupiers and related gaming workers
4213 Pawnbrokers and money-lenders
4214 Debt-collectors and related workers
4220 Client information workers
4221 Travel consultants and clerks
4222 Contact centre information clerks
4223 Telephone switchboard operators
4224 Hotel receptionists
4225 Enquiry clerks
4226 Receptionists (general)
4227 Survey and market research interviewers
4229 Client information workers not elsewhere classified
4300 Numerical and material recording clerks
4310 Numerical clerks
4311 Accounting and bookkeeping clerks
4312 Statistical, finance and insurance clerks
4313 Payroll clerks
4320 Material-recording and transport clerks
4321 Stock clerks
4322 Production clerks
4323 Transport clerks
4400 Other clerical support workers
4410 Other clerical support workers
4411 Library clerks
4412 Mail carriers and sorting clerks
4413 Coding, proof-reading and related clerks
4414 Scribes and related workers
4415 Filing and copying clerks
4416 Personnel clerks
4419 Clerical support workers not elsewhere classified
5000 Service and sales workers
5100 Personal service workers
5110 Travel attendants, conductors and guides
5111 Travel attendants and travel stewards
5112 Transport conductors
5113 Travel guides
5120 Cooks
5130 Waiters and bartenders
5131 Waiters
5132 Bartenders
5140 Hairdressers, beauticians and related workers
5141 Hairdressers
5142 Beauticians and related workers
5150 Building and housekeeping supervisors
5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments
5152 Domestic housekeepers
5153 Building caretakers
5160 Other personal services workers
5161 Astrologers, fortune-tellers and related workers
5162 Companions and valets
5163 Undertakers and embalmers
5164 Pet groomers and animal care workers
5165 Driving instructors
5169 Personal services workers not elsewhere classified
5200 Sales workers
5210 Street and market salespersons
5211 Stall and market salespersons
5212 Street food salespersons
5220 Shop salespersons
5221 Shop keepers
5222 Shop supervisors
5223 Shop sales assistants
5230 Cashiers and ticket clerks
5240 Other sales workers
5241 Fashion and other models
5242 Sales demonstrators
5243 Door to door salespersons
5244 Contact centre salespersons
5245 Service station attendants
5246 Food service counter attendants
5249 Sales workers not elsewhere classified
5300 Personal care workers
5310 Child care workers and teachers' aides
5311 Child care workers
5312 Teachers' aides
5320 Personal care workers in health services
5321 Health care assistants
5322 Home-based personal care workers
5329 Personal care workers in health services not elsewhere classified
5400 Protective services workers
5410 Protective services workers
5411 Fire-fighters
5412 Police officers
5413 Prison guards
5414 Security guards
5419 Protective services workers not elsewhere classified
6000 Skilled agricultural, forestry and fishery workers
6100 Market-oriented skilled agricultural workers
6110 Market gardeners and crop growers
6111 Field crop and vegetable growers
6112 Tree and shrub crop growers
6113 Gardeners, horticultural and nursery growers
6114 Mixed crop growers
6120 Animal producers
6121 Livestock and dairy producers
6122 Poultry producers
6123 Apiarists and sericulturists
6129 Animal producers not elsewhere classified
6130 Mixed crop and animal producers
6200 Market-oriented skilled forestry, fishery and hunting workers
6210 Forestry and related workers
6220 Fishery workers, hunters and trappers
6221 Aquaculture workers
6222 Inland and coastal waters fishery workers
6223 Deep-sea fishery workers
6224 Hunters and trappers
6300 Subsistence farmers, fishers, hunters and gatherers
6310 Subsistence crop farmers
6320 Subsistence livestock farmers
6330 Subsistence mixed crop and livestock farmers
6340 Subsistence fishers, hunters, trappers and gatherers
7000 Craft and related trades workers
7100 Building and related trades workers, excluding electricians
7110 Building frame and related trades workers
7111 House builders
7112 Bricklayers and related workers
7113 Stonemasons, stone cutters, splitters and carvers
7114 Concrete placers, concrete finishers and related workers
7115 Carpenters and joiners
7119 Building frame and related trades workers not elsewhere classified
7120 Building finishers and related trades workers
7121 Roofers
7122 Floor layers and tile setters
7123 Plasterers
7124 Insulation workers
7125 Glaziers
7126 Plumbers and pipe fitters
7127 Air conditioning and refrigeration mechanics
7130 Painters, building structure cleaners and related trades workers
7131 Painters and related workers
7132 Spray painters and varnishers
7133 Building structure cleaners
7200 Metal, machinery and related trades workers
7210 Sheet and structural metal workers, moulders and welders, and related workers
7211 Metal moulders and coremakers
7212 Welders and flamecutters
7213 Sheet-metal workers
7214 Structural-metal preparers and erectors
7215 Riggers and cable splicers
7220 Blacksmiths, toolmakers and related trades workers
7221 Blacksmiths, hammersmiths and forging press workers
7222 Toolmakers and related workers
7223 Metal working machine tool setters and operators
7224 Metal polishers, wheel grinders and tool sharpeners
7230 Machinery mechanics and repairers
7231 Motor vehicle mechanics and repairers
7232 Aircraft engine mechanics and repairers
7233 Agricultural and industrial machinery mechanics and repairers
7234 Bicycle and related repairers
7300 Handicraft and printing workers
7310 Handicraft workers
7311 Precision-instrument makers and repairers
7312 Musical instrument makers and tuners
7313 Jewellery and precious-metal workers
7314 Potters and related workers
7315 Glass makers, cutters, grinders and finishers
7316 Sign writers, decorative painters, engravers and etchers
7317 Handicraft workers in wood, basketry and related materials
7318 Handicraft workers in textile, leather and related materials
7319 Handicraft workers not elsewhere classified
7320 Printing trades workers
7321 Pre-press technicians
7322 Printers
7323 Print finishing and binding workers
7400 Electrical and electronic trades workers
7410 Electrical equipment installers and repairers
7411 Building and related electricians
7412 Electrical mechanics and fitters
7413 Electrical line installers and repairers
7420 Electronics and telecommunications installers and repairers
7421 Electronics mechanics and servicers
7422 Information and communications technology installers and servicers
7500 Food processing, wood working, garment and other craft and related trades workers
7510 Food processing and related trades workers
7511 Butchers, fishmongers and related food preparers
7512 Bakers, pastry-cooks and confectionery makers
7513 Dairy-products makers
7514 Fruit, vegetable and related preservers
7515 Food and beverage tasters and graders
7516 Tobacco preparers and tobacco products makers
7520 Wood treaters, cabinet-makers and related trades workers
7521 Wood treaters
7522 Cabinet-makers and related workers
7523 Woodworking-machine tool setters and operators
7530 Garment and related trades workers
7531 Tailors, dressmakers, furriers and hatters
7532 Garment and related pattern-makers and cutters
7533 Sewing, embroidery and related workers
7534 Upholsterers and related workers
7535 Pelt dressers, tanners and fellmongers
7536 Shoemakers and related workers
7540 Other craft and related workers
7541 Underwater divers
7542 Shotfirers and blasters
7543 Product graders and testers (excluding foods and beverages)
7544 Fumigators and other pest and weed controllers
7549 Craft and related workers not elsewhere classified
8000 Plant and machine operators, and assemblers
8100 Stationary plant and machine operators
8110 Mining and mineral processing plant operators
8111 Miners and quarriers
8112 Mineral and stone processing plant operators
8113 Well drillers and borers and related workers
8114 Cement, stone and other mineral products machine operators
8120 Metal processing and finishing plant operators
8121 Metal processing plant operators
8122 Metal finishing, plating and coating machine operators
8130 Chemical and photographic products plant and machine operators
8131 Chemical products plant and machine operators
8132 Photographic products machine operators
8140 Rubber, plastic and paper products machine operators
8141 Rubber products machine operators
8142 Plastic products machine operators
8143 Paper products machine operators
8150 Textile, fur and leather products machine operators
8151 Fibre preparing, spinning and winding machine operators
8152 Weaving and knitting machine operators
8153 Sewing machine operators
8154 Bleaching, dyeing and fabric cleaning machine operators
8155 Fur and leather preparing machine operators
8156 Shoemaking and related machine operators
8157 Laundry machine operators
8159 Textile, fur and leather products machine operators not elsewhere classified
8160 Food and related products machine operators
8170 Wood processing and papermaking plant operators
8171 Pulp and papermaking plant operators
8172 Wood processing plant operators
8180 Other stationary plant and machine operators
8181 Glass and ceramics plant operators
8182 Steam engine and boiler operators
8183 Packing, bottling and labelling machine operators
8189 Stationary plant and machine operators not elsewhere classified
8200 Assemblers
8210 Assemblers
8211 Mechanical machinery assemblers
8212 Electrical and electronic equipment assemblers
8219 Assemblers not elsewhere classified
8300 Drivers and mobile plant operators
8310 Locomotive engine drivers and related workers
8311 Locomotive engine drivers
8312 Railway brake, signal and switch operators
8320 Car, van and motorcycle drivers
8321 Motorcycle drivers
8322 Car, taxi and van drivers
8330 Heavy truck and bus drivers
8331 Bus and tram drivers
8332 Heavy truck and lorry drivers
8340 Mobile plant operators
8341 Mobile farm and forestry plant operators
8342 Earthmoving and related plant operators
8343 Crane, hoist and related plant operators
8344 Lifting truck operators
8350 Ships' deck crews and related workers
9000 Elementary occupations
9100 Cleaners and helpers
9110 Domestic, hotel and office cleaners and helpers
9111 Domestic cleaners and helpers
9112 Cleaners and helpers in offices, hotels and other establishments
9120 Vehicle, window, laundry and other hand cleaning workers
9121 Hand launderers and pressers
9122 Vehicle cleaners
9123 Window cleaners
9129 Other cleaning workers
9200 Agricultural, forestry and fishery labourers
9210 Agricultural, forestry and fishery labourers
9211 Crop farm labourers
9212 Livestock farm labourers
9213 Mixed crop and livestock farm labourers
9214 Garden and horticultural labourers
9215 Forestry labourers
9216 Fishery and aquaculture labourers
9300 Labourers in mining, construction, manufacturing and transport
9310 Mining and construction labourers
9311 Mining and quarrying labourers
9312 Civil engineering labourers
9313 Building construction labourers
9320 Manufacturing labourers
9321 Hand packers
9329 Manufacturing labourers not elsewhere classified
9330 Transport and storage labourers
9331 Hand and pedal vehicle drivers
9332 Drivers of animal-drawn vehicles and machinery
9333 Freight handlers
9334 Shelf fillers
9400 Food preparation assistants
9410 Food preparation assistants
9411 Fast food preparers
9412 Kitchen helpers
9500 Street and related sales and service workers
9510 Street and related service workers
9520 Street vendors (excluding food)
9600 Refuse workers and other elementary workers
9610 Refuse workers
9611 Garbage and recycling collectors
9612 Refuse sorters
9613 Sweepers and related labourers
9620 Other elementary workers
9621 Messengers, package deliverers and luggage porters
9622 Odd job persons
9623 Meter readers and vending-machine collectors
9624 Water and firewood collectors
9629 Elementary workers not elsewhere classified
9997 Uncodeable
9998 Don't know, inadequately described
9999 No answer
5749
SEI Label: Respondent socioeconomic index (1980)
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP, DK, NA
5750
FIRSTSEI Label: R's socioeconomic index of 1st occupation (1980)
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP, DK, NA
5751
PASEI Label: R's Father's socioeconomic index (1980)
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP, DK, NA
5752
MASEI Label: R's Mothers socioeconomic index (1980)
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP, DK, NA
5753
SPSEI Label: R's spouse's socioeconomic index (1980)
Format: F4.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.0 IAP, DK, NA
5754
SEI10 Label: R's socioeconomic index (2010)
Format: F3.1
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5755
SEI10EDUC Label: Percentage of some college educ in OCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 11
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5756
SEI10INC Label: Percentage of $45k+ earners in OCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5757
PASEI10 Label: R's father's socioeconomic index (2010)
Format: F3.1
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5758
PASEI10EDUC Label: Percentage of some college educ in PAOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 13
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5759
PASEI10INC Label: Percentage of $45k+ earners in PAOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 12
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5760
MASEI10 Label: R's mother's socioeconomic index (2010)
Format: F3.1
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5761
MASEI10EDUC Label: Percentage of some college educ in MAOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 13
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5762
MASEI10INC Label: Percentage of $45k+ earners in MAOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 12
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5763
SPSEI10 Label: R's spouse's socioeconomic index (2010)
Format: F3.1
Measure: Scale
Display Width: 10
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5764
SPSEI10EDUC Label: Percentage of some college educ in SPOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 13
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5765
SPSEI10INC Label: Percentage of $45k+ earners in SPOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 12
Missing Values: -1
Value Label
-1.0 IAP, DK, NA, uncodeable
5766
COSEI10 Label: Partner's socioeconomic index (2010)
Format: F3.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
.0 IAP, DK, NA
5767
COSEI10EDUC Label: Percentage of some college educ in COOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
.0 IAP, DK, NA
5768
COSEI10INC Label: Percentage of $45K+ earners in COOCC10 based on ACS 2010
Format: F3.1
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
.0 IAP, DK, NA
5769
COPRES10 Label: Partner's occupational prestige score (2010)
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
5770
COPRES105PLUS Label: Partner's occupational prestige score using threshold method (2010)
Format: F8.0
Measure: Scale
Display Width: 17
Missing Values: 0
Value Label
0 IAP,DK,NA,uncodeable
5771
USWAR Label: Expect U.S. in war within 10 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5772
USWARY Label: Expect U.S. in world war in 10 years
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DK
9 NA
5773
USINTL Label: Take active part in world affairs
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ACTIVE PART
2 STAY OUT
8 DK
9 NA
5774
USUN Label: Remain in u.n. or pull out
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STAY IN
2 PULL OUT
8 DK
9 NA
5775
COMMUN Label: Feelings about communism
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORST KIND
2 BAD, NOT WORST
3 OK FOR SOME
4 GOOD FORM
8 DK
9 NA
5776
COMMUN10 Label: Feelings about communism 10 yrs ago
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 WORST KIND
2 BAD, NOT WORST
3 OK FOR SOME
4 GOOD FORM
8 DK
9 NA
5777
RUSSIA Label: Liking for Russia
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5778
JAPAN Label: Liking for Japan
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5779
ENGLAND Label: Liking for England
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5780
CANADA Label: Liking for Canada
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5781
BRAZIL Label: Liking for Brazil
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5782
CHINA Label: Liking for China
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5783
ISRAEL Label: Liking for Israel
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5784
EGYPT Label: Liking for Egypt
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: -1
Value Label
-1 DK,NA,IAP
0 +5
1 +4
2 +3
3 +2
4 +1
5 -1
6 -2
7 -3
8 -4
9 -5
5785
WELFARE1 Label: Welfare makes people work less
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
5786
WELFARE2 Label: Helps people overcome difficult times
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
5787
WELFARE3 Label: Encourages out-of-wedlock children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
5788
WELFARE4 Label: Preserves marriages in difficult times
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
5789
WELFARE5 Label: Helps prevent hunger and starvation
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
5790
WELFARE6 Label: DISCOurages pregnant girls from marrying
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 STRONGLY AGREE
2 AGREE
3 DISAGREE
4 STRONGLY DISAGREE
8 DK
9 NA
5791
WKCONTCT Label: How often contacted about work when not working
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Never
2 Less than once a month
3 Once or twice a month
4 Once a week
5 Several times a week
6 Once a day
7 Two or more times a day
8 Don't know
9 No answer
5792
TALKSPVS Label: Comfortable talking with supervisor about Personal
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all comfortable
2 A little
3 Somewhat
4 Very
5 Extremely
8 Don't know
9 No answer
5793
EFFCTSUP Label: Supervisor effective solve work/Personal conflicts
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Not at all effective
2 A Little
3 Somewhat
4 Very
5 Extremely
8 Don't know
9 No answer
5794
COHORT Label: Year of birth
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9999
Value Label
0 IAP
9999 NA
5795
MARCOHRT Label: Year of first marriage
Format: F4.0
Measure: Scale
Display Width: 8
Missing Values: 0; 9999
Value Label
0 IAP
9999 NA
5796
BIRTHMO Label: Month in which R was born
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 JANUARY
2 FEBRUARY
3 MARCH
4 APRIL
5 MAY
6 JUNE
7 JULY
8 AUGUST
9 SEPTEMBER
10 OCTOBER
11 NOVEMBER
12 DECEMBER
98 DK
99 NA
5797
ZODIAC Label: Respondents astrological sign
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 ARIES
2 TAURUS
3 GEMINI
4 CANCER
5 LEO
6 VIRGO
7 LIBRA
8 SCORPIO
9 SAGITTARIUS
10 CAPRICORN
11 AQUARIUS
12 PISCES
98 DK
99 NA
5798
INTHISP Label: Is interviewer Spanish, Hispanic or latino
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 NOT HISPANIC
2 MEXICAN, MEXICAN AMERICAN, CHICANO/A
3 PUERTO RICAN
4 CUBAN
5 SALVADORIAN
6 GUATEMALAN
7 PANAMANIAN
8 NICARAGUAN
9 COSTA RICAN
10 CENTRAL AMERICAN
11 HONDURAN
15 DOMINICAN
16 WEST INDIAN
20 PERUVIAN
21 EQUADORIAN
22 COLUMBIAN
23 VENEZUELAN
24 Argentinian
27 COLOMBIAN
30 SPANISH
31 BASQUE
35 FILIPINO/A
40 LATIN AMERICAN
41 SOUTH AMERICAN
45 LATIN
46 LATINO/A
47 HISPANIC
50 OTHER, NOT SPECIFIED
98 DK
99 NA
5799
INTRACE1 Label: Interviewer s race1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 White
2 Black or African
3 American Indian
4 Asian Indian
5 Chinese
6 Filipino
7 Japanese
8 Korean
9 Vietnamese
10 Other Asian
11 Native Hawaiian
12 Guamanian or Chamorro
13 Samoan
14 Other Pacific Islander
15 Some other race
16 Hispanic
98 Dont Know
99 No Answer
5800
INTRACE2 Label: Interviewer s race2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 White
2 Black or African
3 American Indian
4 Asian Indian
5 Chinese
6 Filipino
7 Japanese
8 Korean
9 Vietnamese
10 Other Asian
11 Native Hawaiian
12 Guamanian or Chamorro
13 Samoan
14 Other Pacific Islander
15 Some other race
16 Hispanic
98 Dont Know
99 No Answer
5801
INTRACE3 Label: Interviewer s race3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 White
2 Black or African
3 American Indian
4 Asian Indian
5 Chinese
6 Filipino
7 Japanese
8 Korean
9 Vietnamese
10 Other Asian
11 Native Hawaiian
12 Guamanian or Chamorro
13 Samoan
14 Other Pacific Islander
15 Some other race
16 Hispanic
98 Dont Know
99 No Answer
5802
BTHGRP1A Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5803
BTHGRP1B Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5804
BTHGRP1C Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5805
BTHGRP1D Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5806
BTHGRP1E Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5807
BTHGRP1F Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5808
BTHGRP2A Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5809
BTHGRP2B Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5810
BTHGRP2C Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5811
BTHGRP2D Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5812
BTHGRP2E Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5813
BTHGRP2F Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5814
BTHGRP3A Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5815
BTHGRP3B Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5816
BTHGRP3C Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5817
BTHGRP3D Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5818
BTHGRP3E Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5819
BTHGRP3F Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5820
BTHGRP4A Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5821
BTHGRP4B Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5822
BTHGRP4C Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5823
BTHGRP4D Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5824
BTHGRP4E Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5825
BTHGRP4F Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5826
BTHGRP5A Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5827
BTHGRP5B Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5828
BTHGRP5C Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5829
BTHGRP5D Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5830
BTHGRP5E Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5831
BTHGRP5F Label: What are the groups you both belong to?
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5832
FRSTGRP1 Label: Which group meet name1
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5833
FRSTGRP2 Label: Which group meet name2
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5834
FRSTGRP3 Label: Which group meet name3
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5835
FRSTGRP4 Label: Which group meet name4
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5836
FRSTGRP5 Label: Which group meet name5
Format: F2.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 Fraternal groups
2 Service clubs
3 Veterans groups
4 Political clubs
5 Labor unions
6 Sports groups
7 Youth groups
8 School service groups
9 Hobby or garden clubs
10 School fraternities or sororities
11 Nationality groups
12 Farm organizations
13 Literary art discussion or study groups
14 Professional or academic societies
15 Church-affiliated groups
16 Other groups
98 Don't know
99 No answer
5837
WHOELSE1 Label: Presence of others: children under six
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
5838
WHOELSE2 Label: Presence of others: older children
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
5839
WHOELSE3 Label: Presence of others: spouse partner
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
5840
WHOELSE4 Label: Presence of others: other relatives
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
5841
WHOELSE5 Label: Presence of others: other adults
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
5842
WHOELSE6 Label: Presence of others: no one
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DONT KNOW
9 NO ANSWER
5843
SAQISSP Label: R did issp module
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 R DID ISSP
2 ADMINISTERED BY INTERVIEWER
3 PROMISED, BUT DID NOT DO
4 R DID NOT DO ISSP
5 R DID, BUT NOT SURE MODE
5844
SAQSEX Label: R did sex module
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 R DID SEX SAQ
2 ADMINISTERED BY INTERVIEWER
3 PROMISED, BUT DID NOT DO
4 R DID NOT DO SEX
5 R DID, BUT NOT SURE MODE
5845
SAQGENE Label: R did gene module for 2004
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 R DID GENE SAQ
2 ADMINISTERED BY INTERVIEWER
3 R DID NOT DO GENE
5846
INTID Label: Interviewer id
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 IAP
5847
FEEUSED Label: Fee given to get case
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES, MONEY
2 YES, OTHER (FLOWERS, FOOD, ETC.)
3 NO
8 DONT KNOW
9 NA
5848
FEELEVEL Label: Amount of fees paid
Format: F3.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 998; 999
Value Label
0 IAP
75 $75+
998 DONT KNOW
999 NO ANSWER
5849
LNGTHINV Label: How long was interview
Format: F3.1
Measure: Scale
Display Width: 8
Missing Values: 0; 998; 999
Value Label
.0 IAP
30.0 30 min or less
200.0 200 min and more
998.0 DONT KNOW
999.0 NO ANSWER
5850
INTAGE Label: Age of interviewer
Format: F2.0
Measure: Scale
Display Width: 8
Missing Values: 0; 99
Value Label
0 IAP
25 25 years old
99 NO ANSWER
5851
EASYGET Label: How difficult was case to get
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 VERY EASY
2 SOMEWHAT EASY
3 SOMEWHAT DIFFICULT
4 VERY DIFFICULT
8 DONT KNOW
9 NO ANSWER
5852
INTETHN Label: Race of interviewer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 WHITE
2 BLACK
3 HISPANIC
4 ASIAN
5 TWO OR MORE RACE
9 NO ANSWER
5853
MODE Label: Interview done in-person or over the phone
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 IN-PERSON
2 OVER THE PHONE
3 COMBINATION IN-PERSON/PHONE
8 DONT KNOW
9 NA
5854
INTSEX Label: Sex of interviewer
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 9
Value Label
0 IAP
1 MALE
2 FEMALE
9 NO ANSWER
5855
INTYRS Label: Years of service as an interviewer at norc
Format: F5.1
Measure: Scale
Display Width: 8
Missing Values: -1; 99
Value Label
-1.0 IAP
.0
99.0 NO ANSWER
5856
CONSENT Label: Participation/recording consent
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 9
Value Label
0 IAP
1 R CONSENTS TO RECORDING INTERVIEW
2 R CONSENTS TO PARTCIPATE IN THE SURVEY BUT DOES NOT WANT TO BE RECORDED
9 NO ANSWER
5857
PILLOKY Label: Birth control to teenagers 14-16 (form 2)
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Strongly agree
2 Agree
3 Disagree
4 Strongly disagree
8 DONT KNOW
9 NA
5858
POPESPKY Label: Pope is infallible on matteR's of faith or morals (form 2)
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Certainly false
2 Probably false
3 I am uncertain whether this is false or true
4 Probably true
5 Certainly true
8 DONT KNOW
9 NA
5859
POLHITOY Label: Ever approve of police striking citizen (form 2)
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
5860
LETDIE1Y Label: Allow incurable patients to die (form 2)
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Yes
2 No
8 DONT KNOW
9 NA
5861
BALLOT Label: Ballot used for interview
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 BALLOT A
2 BALLOT B
3 BALLOT C
4 BALLOT D
5862
VERSION Label: Version of questionnaire
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
5863
ISSP Label: Filter for ISSP cases
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 DID ISSP
2 DIDNT DO ISSP
5864
FORMWT Label: Weight deal with experimental randomization
Format: F5.3
Measure: Scale
Display Width: 8
5865
SAMPCODE Label: Sampling error code
Format: F3.0
Measure: Scale
Display Width: 8
Missing Values: 0
Value Label
0 IAP
5866
SAMPLE Label: Sampling frame and method
Format: F1.0
Measure: Nominal
Display Width: 8
Value Label
1 1960 BQ
2 1970 BQ
3 1970 FP
4 1970 FP BLK OVERSAMP
5 1980 BFP BLK OVERSAMP
6 1980 FP
7 1980 FP BLK OVERSAMP
8 1990 FP
9 2000 FP
10 2010 FP
5867
OVERSAMP Label: Weights for black oversamples
Format: F6.4
Measure: Nominal
Display Width: 8
5868
PHASE Label: Subsampling: two-phase design.
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0
Value Label
0 IAP
1 PHASE ONE - INITIAL CASES
2 PHASE TWO - SUB SAMPLED CASES
5869
SPANSELF Label: If this interview had only been available in English, would you...
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 Have been able to do the interview easily in English
2 Have been able to do the interview with difficulty
3 Not have been able to do the interview
8 Dont Know
9 No Answer
5870
SPANINT Label: If no Spanish, R could have been interviewed in English
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 COULD HAVE BEEN INTERVIEWED IN ENGLISH
2 WOULD HAVE BEEN EXCLUDED AS LANGUAGE PROBLEM
8 Dont Know
9 No Answer
5871
SPANENG Label: Interviews conducted in Spanish or English
Format: F1.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 ENGLISH
2 SPANISH
9 No answer
5872
RES2006 Label: Was R living in usa during March-May 2006
Format: F1.0
Measure: Nominal
Display Width: 9
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING IN THE U.S.
2 NOT LIVING IN U.S.
8 DONT KNOW
9 NA
5873
RES2008 Label: Was R living in usa during April-June 2008
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING IN THE U.S.
2 NOT LIVING IN U.S.
8 DONT KNOW
9 NA
5874
RES2010 Label: Was R living in usa during April-June 2010
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING IN THE U.S.
2 NOT LIVING IN U.S.
8 DONT KNOW
9 NA
5875
RES2012 Label: Was R living in usa during April-June 2012
Format: F8.0
Measure: Nominal
Display Width: 8
Value Label
1 LIVING IN THE U.S.
2 NOT LIVING IN U.S.
8 DON'T KNOW
9 REFUSED
5876
CSHUTYP06 Label: During March-May 2006, was R resident in household or institution
Format: F1.0
Measure: Nominal
Display Width: 10
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING IN HOUSEHOLD
2 LIVING IN INSTITUTION
3 HOMELESS (VOLUNTEERED)
4 OTHER
8 DONT KNOW
9 NA
5877
CSHUTYP08 Label: During April-June 2008, was R resident in household or institution
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING IN HOUSEHOLD
2 LIVING IN INSTITUTION
3 HOMELESS (VOLUNTEERED)
4 OTHER
8 DONT KNOW
9 NA
5878
CSHUTYP10 Label: During April-June 2010, was R resident in household or institution
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING IN HOUSEHOLD
2 LIVING IN INSTITUTION
3 HOMELESS (VOLUNTEERED)
4 OTHER
8 DONT KNOW
9 NA
5879
CSHUTYP12 Label: During April-June 2012, was R resident in household or institution
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 LIVING IN HOUSEHOLD
2 LIVING IN INSTITUTION
3 HOMELESS (VOLUNTEERED)
4 OTHER
8 DON'T KNOW
9 No answer
5880
HLTHSTRT Label: Would you say the respondent? health in general is excellent, good, fair, or poor?
Format: F8.0
Measure: Nominal
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 GOOD
3 FAIR
4 POOR
8 DK
9 NA
5881
HUADD Label: Housing unit (HU) at address?
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DON'T KNOW
9 NO ANSWER
5882
HUADDWHY Label: Why there is no hu at this address
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 CONDEMNED
2 DEMOLISHED
3 PLACE OF BUSINESS WITHOUT RESIDENCE
4 NO SUCH ADDRESS, NO SUCH HU
5 GROUP QUARTERS
6 VACATION CABIN
7 NOT USABLE AS A PERMANENT RESIDENCE
8 TRANSIENT USE (LESS THAN ONE MONTH)
9 NOT AN HU FOR OTHER REASON (SPECIFY ON NEXT PAGE)
10 UNDER CONSTRUCTION
98 DON'T KNOW
99 NO ANSWER
5883
DWELLPRE Label: Type of structure in which the respondent lives
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 98; 99
Value Label
0 IAP
1 TRAILER
2 DETACHED SINGLE FAMILY HOUSE
3 2-FAMILY HOUSE, 2 UNITS SIDE-BY-SIDE
4 2-FAMILY HOUSE, 2 UNITS ONE ABOVE THE OTHER
5 DETACHED 3-4 FAMILY HOUSE
6 ROW HOUSE (3 OR MORE UNITS IN AN ATTACHED ROW)
7 APARTMENT HOUSE (5 OR MORE UNITS, 3 STORIES OR LESS)
8 APARTMENT HOUSE (5 OR MORE UNITS, 4 STORIES OR MORE)
9 APARTMENT IN A PARTLY COMMERCIAL STRUCTURE
10 OTHER (SPECIFY ON NEXT PAGE)
98 DON'T KNOW
99 NO ANSWER
5884
KIDSINHH Label: Does interviewer believe that there are children under the age of 15 present at this household
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 YES
2 NO
8 DON'T KNOW
9 NO ANSWER
5885
RESPOND Label: Estimate of the probability that this household will respond to the survey
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HIGH
2 LOW
8 DON'T KNOW
9 NO ANSWER
5886
INCUSPOP Label: Estimated income status of housing unit
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 HIGHER THAN AVERAGE
2 AVERAGE
3 LOWER THAN AVERAGE
8 DON'T KNOW
9 NO ANSWER
5887
NEISAFE Label: How safe interviewer thinks neighborhood is
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY SAFE
2 SOMEWHAT SAFE
3 SOMEWHAT UNSAFE
4 VERY UNSAFE
8 DON'T KNOW
9 NO ANSWER
5888
RLOOKS Label: R physical attractiveness rating
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY UNATTRACTIVE
2 UNATTRACTIVE
3 ABOUT AVERAGE
4 ATTRACTIVE
5 VERY ATTRACTIVE
8 DON'T KNOW
9 NO ANSWER
5889
RGROOMED Label: R grooming rating
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY POORLY GROOMED
2 POORLY GROOMED
3 ABOUT AVERAGE
4 WELL GROOMED
5 VERY WELL GROOMED
8 DON'T KNOW
9 NO ANSWER
5890
RWEIGHT Label: R weight rating
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 VERY OVERWEIGHT
2 SLIGHTLY OVERWEIGHT
3 ABOUT THE RIGHT WEIGHT
4 SLIGHTLY UNDERWEIGHT
5 VERY UNDERWEIGHT
8 DON'T KNOW
9 NO ANSWER
5891
RHLTHEND Label: R health rating
Format: F8.0
Measure: Scale
Display Width: 8
Missing Values: 0; 8; 9
Value Label
0 IAP
1 EXCELLENT
2 GOOD
3 FAIR
4 POOR
8 DON'T KNOW
9 NO ANSWER
5892
WTSS Label: Weight variable
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
5893
WTSSNR Label: Weight variable
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
5894
WTSSALL Label: Weight variable
Format: F5.2
Measure: Scale
Display Width: 8
Missing Values: -1
Value Label
-1.00 IAP
5895
VSTRAT Label: Variance stratum
Format: F8.0
Measure: Scale
Display Width: 16
Missing Values: -1
Value Label
-1 IAP
5896
VPSU Label: Variance primary sampling unit
Format: F8.0
Measure: Scale
Display Width: 16
Missing Values: -1
Value Label
-1 IAP
5897